Architect, Data Resume Sample

8 votes
Charlotte Harber
79339 Jaycee Junction,  Philadelphia, PA
+1 (555) 523 0441

Work Experience

Senior Architect, Data Services Architecture
01/2018 - PRESENT
Philadelphia, PA
  • Experienced in shaping and realizing a technical architecture vision, understanding the impact of external influences on internal strategy
  • Empathic listener: understands underlying thoughts and feelings, achieves peoples buy-in on recommended solution
  • Assertive, not afraid to challenge
  • Flexible: anticipates and prepares for opportunities & obstacles
  • Autonomous in: executing tasks, preparation of advice, and decision making about the implementation
  • Methodological and structured
  • Energized by feeding back lessons learned to organization and sharing on conferences
  • Position yourself as a trusted advisor to Presidio’s clients, and partner with them to understand their requirements for business needs
  • Provide recommendations to clients with respect to solutions and strategies
Data Architect / Data Modeler
11/2011 - 12/2017
Philadelphia, PA
  • Design state-of-the-art technical solutions that address customer's requirements for scalability, reliability, security, and performance
  • Collaborate with other project teams on technical solutions and help improve Presidio’s services IP
  • Staying up-to-date on all technical developments related to Data Center
  • If required, perform client assessments in support of design, implementations and on-going support
  • Designing and implementing complex Data Center solutions
  • Required of experience working with mid-market or enterprise environments across multiple verticals
  • Previous, demonstrated experience migrating an on premise to on prem environments or on prem to any cloud environment
Data Architect, Data Engineering
06/2005 - 10/2011
Los Angeles, CA
  • Basic networking features & constraints including VPN, Direct Connect, Subnetting, Routing, etc
  • Strong virtualization experience with Vmware (ESX 6.5, VRNI, VROPS)
  • Proven design, planning and implementation experience with compute
  • Moderate Network, firewall configuration and router troubleshooting experience
  • Working knowledge of most relevant operating systems (Windows Server, RHEL, Ubuntu, etc.)
  • Basic knowledge of automation tools (Puppet, Ansible, Terraform, etc..)
  • Understand and translate business needs into enterprise data models for Pharma Development


American InterContinental University - LA Campus
2000 - 2005
Bachelor's Degree in Business

Professional Skills

  • Strong understanding of data warehouse technologies/architectures/best practices and allied concepts such as master data management, enterprise performance management, etc
  • Skills in SQL and proven experience working with at least one of the major databases platforms (SQL Server, Oracle, DB2, MySQL, Sybase, or Postgres)
  • Excellent research, analysis and problem-solving skills
  • Highly collaborative and strong interpersonal skills
  • Strong skills in one or more of our critical technology elements (Kafka, Aerospike, Druid)
  • Good problem solving and trouble-shooting skills
  • Strong experience on understanding customer requirements,

How to write Architect, Data Resume

Architect, Data role is responsible for java, security, retail, finance, credit, training, integration, database, auditing, coding.
To write great resume for architect, data job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Architect, Data Resume

The section contact information is important in your architect, data resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:

  • First and last name
  • Email
  • Telephone number

Work Experience in Your Architect, Data Resume

The section work experience is an essential part of your architect, data resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous architect, data responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular architect, data position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions. Representative Architect, Data resume experience can include:

  • Strong analytical skills, comfortable working with large data sets and ability to transform data into actionable insights
  • Proactively prioritizes needs and effectively manages resources
  • Effectively communicate technical analyses and evaluation results to leadership
  • Training and "hands-on" experience in state-of-the-art technology
  • Extensive experience in Conceptual, Logical and Physical data modeling including new application data model design and maintenance
  • Experience implementing and supporting operational data stores, data warehouses, and data marts and data integration platforms

Education on an Architect, Data Resume

Make sure to make education a priority on your architect, data resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your architect, data experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Architect, Data Resume

When listing skills on your architect, data resume, remember always to be honest about your level of ability. Include the Skills section after experience. Present the most important skills in your resume, there's a list of typical architect, data skills:

  • Excellent project planning and resource coordination experience
  • Good experience managing users and vendors
  • Strong experience in interacting with Sr. Leadership in Risk/Finance Organizations
  • Demonstrated experience in architecting medium to large sized BI applications
  • Demonstrate understanding of business priorities, data and analytics technologies and strategic needs/opportunities
  • Communicate effectively with business to identify needs and evaluate alternative business solutions

List of Typical Experience For an Architect, Data Resume


Experience For Data Architect / Data Modeler Resume

  • Experience with Hadoop tools and technologies. Experience in Big Data/NoSQL technologies
  • Advance the state-of-the art in how we cost-effectively scale systems
  • Hands-on experience designing and implementing large-scale, real-time, event-driven enterprise Operational Data Stores (ODS)
  • Experience designing data solutions using Enterprise Service Bus framework, such as MuleSoft
  • Very good working knowledge of at least one of the leading BI visualization tools: Microsoft Excel, SSRS, Tableau, Qlickview, Microsoft Power BI

Experience For Senior Architect, Data Services Architecture Resume

  • Experience or knowledge of NoSQL Data Modeling
  • Hands-on experience using SQL/NO-SQL Databases including Oracle, Cassandra, MongoDB, Neo4J, Redshift, Snowflake or similar
  • Experience in digital analytics, preferably in top tier media agency or Adtech vendor
  • Experience with AWS or Azure
  • Experience in enterprise data architecture

Experience For Data Architect, Data Engineering Resume

  • Expert-level experience with Java
  • Establish and maintain data model for WWE’s Enterprise Data Warehouse using third normal form and dimensional modeling
  • Maintain conceptual, logical Enterprise data models along with corresponding metadata
  • Create logical and physical data models using best practices to ensure high data quality and reduced redundancy
  • Define and establish technology strategy and roadmap for contemporizing the current analytics technology and tools
  • Manage a team of technology experts to deliver a coordinated program driving business outcomes with Big Data
  • Develop and implement a user engagement model to support rapid conversion of existing solutions into contemporary scalable solutions

Experience For Enterprise Architect & Data Modeler Resume

  • Define and manage the overall BI data architecture, including ETL processes, ODS, EDW, data marts and data lakes
  • Collaborate with IT DevOps team in designing the next generation BI and analytics platform with SQL and No SQL capabilities
  • Define and set the standards for Dimensional Models, ETL and Reporting Standards
  • Design dimensional and relational data models using Erwin
  • Drive conversations with development and DBA teams to optimize the schema structure and ingestion processes influencing the write and read performance
  • Provide assistance to project teams on data modeling policies, procedure, processes and standards

Experience For Architect Data Core Services Resume

  • Work with the Development team to translate Logical Data Model into Physical Data Model
  • Partner with internal functions across the entire business to lead strategy and delivery of technology and innovation via systems like Greenplum, HDFS, Talend, and associated big data engines
  • Apply new technologies to drive improvements to or create new business capabilities that can be scaled across the P&L or applied to other P&L’s
  • Collaborate with GE Digital and other GE businesses to leverage best in class solutions
  • Develop and implement strategy to drive synergies through M&A (Mergers & Acquisitions) activities
  • Develop operational models to provide technical support for internal and external stakeholders

Experience For Data Architect / Data Engineer Resume

  • Adhere to the Software Development Life Cycle (SDLC) for all projects in requirements gathering, planning, evaluating, designing, developing, testing, and deploying solutions
  • Leverage a Bi-Modal Operational Model to deliver results and minimize overhead
  • Manage project timelines, financials, services, and contracts to deliver all projects on-time and under-budget
  • Work with a variety of technologies across the data & analytics platform
  • Partner with operations leads to set platform roadmaps for upgrades and technology refreshes
  • Act strategically about how technology and tool capabilities can be leveraged to create Analytic and Business value
  • Global know how in world class organization, leader in its area
  • Big Picture Orientation: Takes a Bank/and or System-wide view, leveraging insights from multiple sources to create short and long-term strategies that drive the Bank’s mission
  • Standardize and perform data profiling procedures using industry standard data profiling tools and SQL

Experience For Architect Data Management Resume

  • Nice to have –knowledge of programming language such as Java, Python, application architecture
  • One Bank Focus: Leads and works collaboratively across Groups to achieve the best outcomes for the Bank
  • Manages and Develops Talent: Creates and implements a culture of employee development and growth, and holds managers accountable; ensures talent is appropriately deployed to maximize business results
  • Advances Diversity and Inclusion: Creates, maintains, and role models an inclusive work environment that encourages diverse thoughts and perspectives
  • Ensure deliverable matches client’s requirements
  • Develop and support Margin and Collateral data model
  • Develop and maintain data quality dashboard, issue log
  • Strong communication and writing skills, ability to conduct workshops, facilitate interviews with Subject Matter Experts to capture and document business requirements. Ability to translate business rules into system requirements, data model, UML diagrams
  • As part of data profiling, perform and document source and target data analysis for data completeness, uniqueness, range, value distribution and pattern analysis

Experience For Innovation Architect Data & Analytics Resume

  • Experience with message modeling
  • Serve as a technical resource for business teams to help define, and propose solutions for business opportunities
  • ETL Tools (Informatica, etc.), BTEQ
  • Provides technology leadership and oversight on design, development and implementation of business intelligence solutions
  • Responsible for the implementation of approved technologies that align with technical design standards/architecture, business plans and long term strategy for Analytics platform
  • Makes recommendations to improve operational processes relative to efficiency and effectiveness; provides input and organizational context to major architectural designs to ensure consistency, maintainability and flexibility with respect to overall system, technical and product architecture within a domain or portfolio

Experience For Senior Architect Data Analytics Resume

  • Analyzes highly complex system and technical issues to implement technologies that align with strategic technical direction
  • Develops solutions to difficult technical problems encountered as part of system implementation, upgrades or support issues
  • Work with business and IT application architects to insure that logical and physical data models support the analytic needs of the business
  • Serves as day-to-day project technology lead; Provide BI technical and architectural guidance to projects and teams and mentors engineers
  • Collaborate with key business and IT partners to identify needs and opportunities for improved data management and delivery
  • Own the EDW data model and refine the data model to keep up to date based on the projects
  • Participate in the new BI technology assessment and lead the proof of concept
  • Represent BI team at Architecture Review Board and present BI projects for ARB review
  • Perform analysis, data extractions, data manipulations

Experience For Software Architect, Data Systems Resume

  • Establish practices of metadata and lineage management
  • Profile data to derive relationship in the form of a conceptual data model
  • Work with business partners and Data Analysts to derive source to target data mappings
  • Develop standards for naming, describing, governing, managing, modeling, storing, cleansing, transforming, searching, and delivering all consumer data within WWE (which includes methodologies, tools, governance, and conventions)
  • Provide architecture guidance, best practices, and detailed design to Development team for data integration jobs
  • Work with Data Analytics team to translate business requirements to implement realistic data models and source to target mappings for the same
  • Work with Solutions Architect to build Center of Excellence (COE) for data information lifecycle management, governance, lineage, and quality
  • Able to define & maintain BI/Data Warehouse methodologies, standards, and industry best practices
  • In depth knowledge in Big Data solutions and Hadoop ecosystem

List of Typical Skills For an Architect, Data Resume


Skills For Data Architect / Data Modeler Resume

  • Experience developing analytics solutions at significant scale, including distributed cloud computing technologies
  • Professional experience with creating SQL to investigate data anomalies, patterns and profiling
  • Past experience (Required) of Risk reporting including CCAR (14Q, 14M), Basel, FR2052
  • Experience working on cross functional teams and managing time independently with little direction
  • Professional experience in Relational and Dimensional data design and modeling in a large multi-platform data environment
  • Strong in User Requirements Gathering, Maintenance and Support

Skills For Senior Architect, Data Services Architecture Resume

  • Experience with Erwin or any other data modeling tools
  • Past experience in Banking Data Warehouse (IBM BDW financial industry standard Model
  • Telecom experience building EDW’s on Teradata in an enterprise environment
  • Sufficient experience of data analyst and data modeling is required
  • In-depth understanding of the BI landscape and the trends; demonstrated ability to learn new technologies
  • Experience with several ETL tools like Informatica, ODI, etc and Reporting tools like Tableau, OBIEE, Cognos, etc
  • Experience with Data modelling tools like Erwin, Embarcadero, etc
  • Experience integrating new technologies like Hadoop and No SQL with traditional RDBMS

Skills For Data Architect, Data Engineering Resume

  • Strong working knowledge of operational business processes
  • Related experience in Data Platform solution architect/consulting
  • Identify and develop a strong understanding of client’s core objectives and challenges
  • Related work experience in the field of data management, marketing analytics, and technology
  • Experience in supporting continues application development; conduct data model impact analysis, and seamlessly integrate new requirements
  • Experience in Conceptual/Logical/Physical data modeling

Skills For Enterprise Architect & Data Modeler Resume

  • Proven expertise in Relational and Dimensional Data Modeling
  • Experience with Erwin Data modeling tool
  • Good understanding of MPP databases and column-oriented databases, such as RedShift and NoSQL (Mongo) databases
  • Clear, senior-level experience on previous engineering teams
  • Knowledge of DBMS platforms (e.g. Redshift, SQL Server, NoSql, Cassandra) with experience in generating DDL as needed
  • Professional experience with the CA Erwin Data Modeler
  • Professional experience with Agile terminology and practices such as User Stories, Backlog, Scrum, and Acceptance Criteria
  • Foster strong, collaborative relationships with IT and business partners, and maintain active involvement in daily work of teams and its members

Skills For Architect Data Core Services Resume

  • Experience with system governance to include both establishing and enforcing policy
  • Evaluate and renew implemented integration architecture solutions to ensure their relevance and effectiveness in supporting business needs and growth
  • Strong knowledge of .NET, SQL and XML schema, HTML5, Mobile platforms and OS’s
  • Experience of margin call calculation and collateral optimization
  • Excellent opportunity for professional and personal growth
  • Work experience focused on Java and Big Data development
  • Working knowledge of multiple DW/BI technologies/platforms with capability to make technology recommendations
  • Putting in place a well-defined data governance

Skills For Data Architect / Data Engineer Resume

  • Willing and able to work flexible hours and be “on-call” as needed
  • Develop best practices for standard naming conventions and modeling coding practices to ensure consistency of data models
  • Have pride – Ensure messy data isn’t our weakness by helping design and implement robust data management, linking, and auditing technologies
  • Extract data through SQL queries, analyzing the data by data mining, data modeling, and data presentation
  • Support Development team in optimizing and updating logical and physical data models to support new and existing projects
  • Review the design and architecture on a day-to-day basis ensuring the monitoring, operational and performance needs are met
  • A passion for teaching and mentoring
  • Provide insight, best practices and standards for NoSQL data modeling as well as assist in data modeling tool selection
  • Assist with capturing and documenting system flow and other pertinent technical information about data database design and/or systems

Skills For Architect Data Management Resume

  • Perform reverse engineering of physical data models from existing platform
  • Provide solution architecture guidance and technical support during implementation phase of the project
  • Enforce Standard Operating Procedures related to interfaces, system access and change management
  • Lead the integration architecture planning and execution in support of data governance and data management initiatives
  • Architecting integration solutions within any big data (Hadoop or equivalent) platform

Skills For Innovation Architect Data & Analytics Resume

  • Develop data models according to company standards
  • Data Vault physical modelling (Nice to have)
  • Ontology modelling (Nice to have)
  • Communicate strategies and processes around data modeling and architecture to cross functional groups
  • A demonstrable history of continuous learning in the this technology space

Skills For Senior Architect Data Analytics Resume

  • In-depth knowledge of diverse and emerging BI technologies and new architectural concepts and principles
  • Analytical business projects from the different business lines such as Marketing, Finance, Product management, Channels, IT Operations etc…
  • Asist functional leads on projects during requirements development and guide conversations based on best technical solution available
  • Be hands on design and develop while evaluating new technologies/capabilities
  • Partner with data engineering & visualization teams to define the boundaries and best practices for Technology use within business

Skills For Software Architect, Data Systems Resume

  • Provide guidance to technical teams on the implementation of new and existing standards, processes, tools and best practices
  • Understand data processing, i.e. Extract/Transform/Load
  • Proficient in system architectures (translating application design to operational requirements)
  • Familiarity with scripting like R, Python, VBA, Perl, Java
  • Conduct data analysis, data mining, identify patterns
  • Work with Solutions Architect and broader Data Engineering Development team to incorporate feedback into data models
  • Create data flow and lineage diagrams adhering to standards for GDPR and other compliance related functions
  • Provide the technical leadership necessary to raise the bar on developer throughput while also maintaining high quality

List of Typical Responsibilities For an Architect, Data Resume


Responsibilities For Data Architect / Data Modeler Resume

  • Analyze business and technical processes to formulate, present and implement new and modified business information systems. Coordinate with business, enterprise architecture and common services teams -- ascertaining system requirements, program functions, output requirements and controls
  • “Hands On” Experience in Tableau…
  • Direct involvement with managing capacity and performance while maintaining application stability
  • Control user access to the EIM applications including the creation and provisioning of user groups and security profiles
  • Pair with individual developers to improve their code-level craft

Responsibilities For Senior Architect, Data Services Architecture Resume

  • Develop high-quality designs for new features, integrations, and other initiatives
  • Proactive with can-do attitude, who can consistently produce results
  • Storage (Entire DellEMC portfolio of products, Pure, NetApp, Cloudian
  • HyperConverged (Cisco HyperFlex, Nutanix, NetApp)
  • Compute (Dell, Cisco UCS, HP)
  • Back-up and Recovery (Veeam, Rubrik, Cohesity)
  • Translates and transforms business requirements into data models (Conceptual, Logical and Physical)

Responsibilities For Data Architect, Data Engineering Resume

  • Analyze source system data and profile data as needed
  • Design dimensional and NoSQL data models for the analytics platform
  • Maintain relational data model repository in Erwin as well as NoSQL data models
  • Provide recommendations to enhance current DA standards as necessary or develop standards for new technology implementations
  • Enforce and follow established data governance and consistency in the data model and standardization of business definitions
  • Skill: experienced in studying the data movement between different systems and the data movement and process influencing the movement between users (business aspect) and come up with a data architecture that is well aligned with the business strategy

Responsibilities For Enterprise Architect & Data Modeler Resume

  • Communicates clearly and concisely in English (oral and written)
  • Past experience (required) of Retail Products (Mortgages, Credit Cards, Personal Loans, Deposists) and functions (Loan Restructuring, Recovery, Collections, Loss Mitigation, Collateral, Charge Off, Carve out, Fraud)
  • A proven, demonstrable series of achievements and deliveries
  • Experience with ETL/data integration methodologies and patterns
  • Expertise with Hadoop ecosystem, map-reduce, Spark, NoSQL, and Cassandra
  • Familiarity with Cloud services and architecture
  • Pharma Development knowledge highly desirable
  • Data Lake Technology Foundations: providing the IT services allowing to collect, store and report on data. This includes structured and unstructured data using IBM InfoSphere suite in combination with the Netezza appliance and Hadoop Hortonworks

Responsibilities For Architect Data Core Services Resume

  • Data Lake Data Foundations: populating the data lake with a critical mass of data so that the different business lines can take benefit from it; allowing to decommission the current legacy DWH solutions
  • Modernize customers’ Tier-1 mission-critical for performance, scalability, latency, reliability
  • Working knowledge with AGILE development, SCRUM and Application Lifecycle Management (ALM) with experience in one or more of the following: T, P or U SQL, R, Python, JSON, Java, Pig/Hive, NET, C++, PHP, Perl,, Ruby on Rails
  • Prior work experience in a Consulting/Architecture position within a software and/or services company such as but not limited to SalesForce, Amazon, VMware, Google, IBM, Avanade, T-Systems, Wipro, CSC, HP, Infosys, ServiceNow, Dell, TCS, Rackspace, Softlayer
  • Interest in and ability to conduct industry and peer research to understand the technology landscape and articulate its impact on the institution
  • Develop flexible, scalable integration architecture patterns for EIM applications involving multiple components, including but not limited to, data warehouse, master data management, campaign management and big data platforms
  • Develop integration architecture solutions for varied latency needs like batch, real-time, near-real-time and on-demand APIs

Responsibilities For Data Architect / Data Engineer Resume

  • Develop and maintain integration architecture blueprint for EIM to illustrate architectural complexities and interactions
  • Provide oversight & direction to project teams in regards to integration architecture. Review and approve high level & detailed designs to ensure that the solution delivers to the business needs and at the same time, aligns to the EIM architecture principles and roadmap
  • Lead the identification of technologies and tools to implement data integration capabilities in EIM
  • Informatica PowerCenter, AbInitio, Sqoop, Kafka, Flume and Alteryx
  • Oracle Exadata, Teradata and Netezza
  • Analyze and understand complex problems
  • Explain technical information in business terms
  • Recommend opportunities for reuse of data models in new environments
  • Evaluate data models and physical databases for variances and discrepancies

Responsibilities For Architect Data Management Resume

  • Examine new application design and recommend corrections if required. and physical databases for variances and discrepancies
  • Provide leadership in delivery of project and initiatives
  • Lead the technical delivery of initiatives through the standard methodology from project approval to deployment
  • Participate and provide technical leadership to internal and external partners in strategy and project initiation, architecture, requirements analysis, design, project management and systems integration activities
  • Work with the organization's IT Leadership to design and implement short-term and long-term architecture strategies utilizing industry best practices for managing technology
  • Work across teams to define, develop and implement standards, policies and procedures to ensure the stability of the applications and integrity of all environments
  • Responsible for ongoing improvement of technical, analytical, and procedural tasks
  • Work with other IT Directors to provide technical guidance and integration of backend systems
  • Responsible for providing input into the release scheduling process including all maintenance and project releases; escalation point for system support, provide necessary communication to the architecture teams and IT leadership

Responsibilities For Innovation Architect Data & Analytics Resume

  • Support the data delivery and integration
  • Support the annual audit processes, both internal and external audits
  • Troubleshoot system-related issues and coordinate issue resolution
  • Lead the EIM data architecture and database administration teams
  • Control the process to create, modify, test and promote business rules, calculations, reports, dashboards, etc., to meet the needs of the business
  • Control the process to set up and maintain metadata structures across EIM

Responsibilities For Senior Architect Data Analytics Resume

  • Enforce data governance policy associated with EIM and its ancillary processes
  • Be the system advocate and subject matter expert for the data architecture
  • Participate in cross-functional projects as the subject matter expert for data architecture
  • Coordinate IT activities with EIM users, EIM administrators, Infrastructure, Oracle product support with respect to system patching, upgrades, outages, troubleshooting, code promotion, etc
  • Be a proactive risk manager for the EIM systems
  • Source system analysis and identification of potential data quality issues
  • Identifies and solves process challenges through simulation of scenarios, analysis of performance metrics and advanced optimization techniques

Responsibilities For Software Architect, Data Systems Resume

  • BS in Computer Science or related field is REQUIRED!
  • Strong knowledge of principles, techniques, and best practices of enterprise data modeling and dimensional data modeling and big data modeling related to Data Warehousing and Business Intelligence
  • Virtualization (VMware, Containers)
  • Affiliations, certifications in technologies
  • Translate information and data into actionable strategies to support growth
  • Proficient in Microsoft Office Suite and SQL

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