Cloud Data Architect Resume Sample

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Yasmine Beatty
36002 Williamson Island,  Boston,  MA
+1 (555) 635 8794

Work Experience


Principal Cloud Architect Software Defined Data Center
09/2017 - PRESENT
Houston, TX
  • Experience and even certification on any of the cloud platforms
  • Provides consultative expertise and leadership to influence 3M Business Group Divisions in the design, development and execution of database solutions across private and public cloud platforms
  • Key contributor and influencer on database technology platform adoption such as Azure and Amazon Paas capabilities
  • Responsible for contributing to the Data Engineering Practice and Best Practices as required to meet demand
  • Maintains currency of deep data related Iaas, Paas and Saas technology knowledge
  • Lead and contribute to data implementation projects and/or project independent workstreams
  • Work independently, or as part of a team, to design and develop enterprise data solutions
  • Define client data strategy, including designing multi-phased implementation roadmaps
  • Be versed in Amazon Web Services, Google Cloud Platform, Dell Boomi, and/or Microsoft Azure cloud solutions, architecture, related technologies, and their interdependencies
Cloud Data Architect
12/2014 - 03/2017
New York, NY
  • Understanding of distributed systems and architecture design trade-offs
  • In data modeling and data architect role for enterprise data modeling across multi-subject areas
  • Hands-on development experience using and migrating data to cloud platforms (i.e. lift-and-shifts)
  • Research, analyze, recommend, and select technical approaches for solving difficult and challenging development and integration problems
  • Proficiency in cloud platforms (AWS, Azure, or Google Cloud)
  • Assist business development teams with pre-sales activities, including helping estimate and plan projects
  • Experience on any of the cloud platforms (Amazon Web Services, Azure, and Google Cloud), with a deep interest in Google Cloud Platform
  • Proficiency in relational database design and development
  • Be responsible for small to large sized projects, automation, task tracking, process execution and metrics for Enterprise Data Lake workloads
Big Data, AWS Cloud Architect
06/2012 - 08/2014
Phoenix, AZ
  • Design, build and deliver reusable foundational frameworks for Enterprise Data Lake workloads, and drive adoption of the frameworks to enable the delivery teams
  • Design, build and deliver the operational and management tools, frameworks and processes for the Data Lake and drive the implementations into the Data Lake Cloud Operations team
  • Maintain a strong collaborative relationship with the business owners and application owners in support of business strategies
  • Partner with Data Lake Architects to identify and resolve functional gaps in the Cloud Data architecture, and define new Cloud Architecture to meet emerging Data Lake needs
  • Provide expertise to resolve critical, complex technical issues around Big Data and Analytic technology
  • Engineering support for the requirements analysis and breakdown of capabilities from other programs and RFC for inclusion in ODS
  • Engineering support to provide updates and provide new processes, procedures, and guidance as data services are developed and refined
  • Engineering support to update and maintain the data repository, data guidance documents, roadmaps, technical briefings, data access design and policies, and ODS backlog

Education


University of North Carolina at Asheville
2007 - 2011
Bachelor's Degree in Computer Science

Professional Skills


  • Have strong problem-solving skills and be able to work well with application developers
  • Demonstrated experience with developing and deploying cloud applications
  • Working experience with scripting languages
  • Working experience with Amazon Web Services and Pivotal Cloud Foundry (PCF)
  • Working experience in database technologies compatible with geospatial data extract/transform/load processes (e.g. Elastic, Postgre SQL, Oracle Spatial, etc.)
  • Working experience with web development HTML, JSON, jQuery, AJAX, REST API
  • Working experience with GEOINT Services

How to write Cloud Data Architect Resume

Cloud Data Architect role is responsible for software, integration, database, security, java, architecture, reporting, design, modeling, travel.
To write great resume for cloud data architect job, your resume must include:

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

Contact Information For Cloud Data Architect Resume

The section contact information is important in your cloud data architect 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 Cloud Data Architect Resume

The section work experience is an essential part of your cloud data architect 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 cloud data architect responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular cloud data architect position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Cloud Data Architect resume experience can include:

  • Experienced designing and implementing large on-prem and cloud-based data warehouse solutions utilizing cluster and parallel RDMS and NoSQL architectures
  • Experience automating predictive workflows leveraging open source & cloud-based platforms
  • Experience using various Hadoop technologies (HDFS, Hive, Spark, Unix shell scripting, HQL/SQL, Python or Scala, Oozie, Sqoop, TDCH)
  • Experience designing and programming ETL/ELT for EDWs
  • Experience in ETL and data warehousing in on-premise and AWS environments
  • Experience working with different data models and database schemas

Education on a Cloud Data Architect Resume

Make sure to make education a priority on your cloud data architect resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your cloud data architect 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 Cloud Data Architect Resume

When listing skills on your cloud data architect 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 cloud data architect skills:

  • Experience and expertise in developing and maintaining automated tools for database design, configuration, implementation, testing, and monitoring
  • Experience evaluating and analyzing SQL statements for troubleshooting and root cause analysis
  • Experience with traditional data modeling and data modeling in the cloud computing environment (preferably AWS RDS)
  • Experience in manipulating, processing, and extracting value from large datasets
  • Experience with programming and scripting languages (SQL, Python, Java)
  • Experience migrating existing non-cloud native applications into cloud environments and cloud native architectures

List of Typical Experience For a Cloud Data Architect Resume

1

Experience For Cloud Data Architect Information Management & Analytics Resume

  • Automate predictive workflows, increase capabilities via cloud/open source technologies and explore graph/NoSQL database platforms to optimize data infrastructure
  • Experience integrating on-prem and cloud big data platforms
  • Experience using various AWS technologies (RDS, RedShift, EC2, S3)
  • Experience with application containerization using Docker
  • Experience in API’s, complex integration development and architecting n-tier applications
2

Experience For Big Data, AWS Cloud Architect Resume

  • Experience with the following technologies is not required, but beneficial: Teradata, Informatica, Databricks, Azure
  • Help with the cost and budget analysis to understand how we control costs of running set of Cloud Based Data Stores
  • Initiate projects/processes to evaluate, define and ingest new data sources and improve data quality
  • Develop micro-services and downstream integrations from data warehouse with CRM and other sales applications
  • Work with internal stakeholders to understand new business needs, pain-points and gaps in data to drive the future enhancements to the data warehouse
  • Support ROI analyses on 3rd party data acquisition and technical improvements to data operations
  • Extensive knowledge with SaaS based applications like Eloqua, Salesforce and Google Analytics
3

Experience For Azure Cloud Data Architect Resume

  • Experience in Advanced SQL (analytical functions), data warehousing concepts, data quality management, data modeling and performance tuning along with ETL tools like Informatica, Snaplogic and Talend
  • Identify use cases, recommendations and solutions for expanding the current Enterprise Data Warehouse to take advantage of Hadoop and cloud technologies (primarily AWS)
  • Over 5 years of experience as a big data solutions architect
  • Capable of turning recommendations and design concepts into working proof of concept (PoC) solutions through hands-on PoC development
  • Clearly articulate pros and cons of various big data technologies and platforms
  • Work with federal and contractor staff to identify requirements
  • Applies developed subject matter knowledge to solve complex data issues within established guidelines and recommends appropriate actions
4

Experience For Cloud Data Solutions Architect Resume

  • Works on projects of diverse complexity and scope
  • Works in a fast-paced agile development environment
  • Define Architecture Best Practices for Cloud Data Solutions and put in place structure to ensure compliance
  • Implement appropriate Change Management and Cloud Data Solution Release Management processes
  • AWS Certified Solutions Architect – Professional certification required
  • Collaborate and coordinate with other contract teams
  • Drive global and regional architecture forums, ensuring the reference architecture and roadmap at sub domain level are informed by practical requirements and that design decisions remain consistent with the architecture and roadmap; ensure appropriate governance of exceptions and stringent follow-up to ensure all conditions of approval are met within the committed timeframe

List of Typical Skills For a Cloud Data Architect Resume

1

Skills For Cloud Data Architect Information Management & Analytics Resume

  • Experience of Implementation and tuning for Apache Hadoop + tools such as Pig, Hive & Spark
  • Experience in cloud architecture, APIs/microservices, data modeling, data architecture
  • Experience with AWS-based infrastructures, including setup of Amazon Web Services (AWS) -- Redshift, S3, EC2 and VPC
  • Experience in working with Relational (Oracle, SQL Server, Redshift), NoSQL Databases (MongoDB) and Graph Databases (Neptune)
  • Experience with other database systems like MSSQL and Oracle
  • Knowledge and experience with Big Data technologies such as Hadoop, NoSQL and Map-Reduce and other Big Data frameworks
  • Experience with Agile software methodology and SCRUM
  • Strong desire to drive change, an ability to adapt to change quickly
2

Skills For Big Data, AWS Cloud Architect Resume

  • Hands-on API (REST, SOAP) and microservices (Lambda, ML, NLP) experience
  • Experience in big data technologies like Hadoop, Hive, Spark, Sqoop and Kafka
  • Python experience, specifically with data manipulation, automation and predictive
  • Understanding of one or more modern coding languages (Java, Python, C#, PHP and JavaScript)
  • Lead effort in researching, identifying and implementing leading edge technologies and practices
  • Maintain multiple application databases by installing, configuring and troubleshooting database on-premise and in cloud computing environment
  • Knowledge of IP Networking VPN’s, switching, and routing
  • Working with Data Mart technologies, including storage, transformation, retrieval, and analysis of information
3

Skills For Azure Cloud Data Architect Resume

  • Working with infrastructure design, infrastructure as code, automation, troubleshooting and root cause analysis
  • Working in AWS cloud computing and technologies
  • Participate in all integration, transition and deployment planning activities and venues to include Release Planning events and product demos
  • Technical experience in multiple Data Warehouse systems, Big Data and Analytic frameworks with demonstrated success in managing and administering Big Data Technologies such as Hadoop, SPARK, HIVE, HANA, and/or AWS EMR/Redshift/Data Pipeline
  • Deep technical experience that enables engaged consulting on technology, standards, processes, and best practices in areas of expertise and regarding new Cloud data technologies
  • Experience determining strategic roadmaps for data solutions to meet current and future needs for the Enterprise Data Lake
  • Experience with database performance testing
4

Skills For Cloud Data Solutions Architect Resume

  • Project management experience working with big data technologies within the Hadoop stack or similar technologies
  • Experience working with various verticals (i.e. insurance, retail, healthcare, financial services, technology)
  • Experience with data modeling, data architecture or data analytics
  • Experience in requirements analysis, and support related integration and testing
  • Experience with Marketing or Risk analytics solutions for Enterprises
  • Experience working in an Agile Development environment
5

Skills For Data / Cloud Architect Resume

  • Creates mapping specifications for integration projects
  • Drives innovations aligned with emerging technologies and Data Trends
  • Provide plans for testing events and demonstration requirements for all services provided by ODS
  • Track of all ODS Features to the DSA-G requirements for tracking purposes
  • Assist with automating operational processes
  • Deep understanding of database concepts such as replication or parallel operations
  • Design, develop and maintain the Sales and Marketing Analytics data architecture
  • Support data and architecture modeling and development towards customer data management
  • Provide technical leadership in implementing Hadoop and Cloud based solutions
6

Skills For Cloud / Data Center Solution Architect Resume

  • Can develop, maintain, and document shell scripts, and batch processes
  • Owns the enterprise data models. Canonical, Logical and Physical
  • Research, present and accurately articulate benefits and goals of technologies such as Big Data, Hadoop, NoSQL, Data Virtualization, and Data Services
  • Determines data model structural requirements by analyzing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems
  • Develops data model solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications
  • Experience as Data Architect
  • Documents Data Flows and integration flows between applications
  • Ensures database architectural solutions are stable, secure and compliant with Hertz and required industry standards and practices
7

Skills For Cloud Architect, Big Data Resume

  • Assists in the creation and compliance of data classification models
  • Design and implement scalable Cloud Data and Analytical architecture solutions for various public and private cloud platforms
  • Design and implement security, encryption best practices for Cloud Data and Analytical platforms
  • Architect, design and implement high performance large volume data integration processes, database, storage, and other back-end services in hybrid cloud environments
  • Collaborate with client teams to assess current architecture, design the future data architecture and develop a roadmap to implement
  • Work closely with Dev Ops team to integrate analytical solutions into cloud based custom developed applications
8

Skills For Principal Cloud Architect Software Defined Data Center Resume

  • Enable a micro services framework to integrate data and analytical requests into client business process applications
  • Support Cloud Strategy team to integrate analytical capabilities into an overall cloud architecture and business case development
  • Deep experience as a technology leader designing and developing data architecture solutions with more than 3+ years specializing in big data architecture or data analytics
  • Broad based architecture acumen: Database architecture, ETL, Micro services, Cloud, Cognitive, IOT, etc
  • Demonstrate technology thought leadership, foster productive business relationships and build strong sponsorship of our technology architecture and roadmap. Understand and influence business strategy, ensuring it’s informed by current and emerging technology capability and supported by our architecture and roadmap
  • Maintain reference architecture for the assigned Sub domain(s), ensuring it’s anchored in current/emerging business requirements, consistent with enterprise and sector architectural tenets, supported by clearly defined financial and non-financial rationale and actionable within the context of Citi’s investment and risk appetite
  • Maintain Sub Domain Level comprehensive technology roadmaps encompassing application and related infrastructure services that are consistent with the reference architecture and phased in accordance with business priorities, investment and risk appetite and regulatory, risk and compliance requirements
9

Skills For Cloud Data Center Solution Architect Resume

  • Ensure early engagement of partner organizations (e.g. CATE and CTI) in the development of our reference architecture and roadmap. Ensure planned capability can be satisfied by partner organizations within the timeframe required
  • Develop a learning environment; demonstrate teamwork, respect and collaboration across the CTO function and with GCT, CTI, CATE and other partner organizations, and foster a culture of innovation, commercial savvy, dependability, pragmatism and excellence
  • Ensure all regulatory, compliance and internal control requirements are met, while maintaining a measured view of risk affecting all areas of CTO responsibility and structured and visible plans for mitigation of this risk
  • Knowledge of Data Center Architecture’s and designs for large scale Data Centers
  • Expert level knowledge of Cisco’s Overlay Transport Virtualization (OTV) protocol
  • Provide architecture guidance on logical data models and physical database designs for cloud and on-premise applications
10

Skills For Informatica Big Data Cloud Architect Resume

  • Provide recommendations to improve data infrastructure
  • Lead the design and sustainment of data pipelines and data storage
  • Advise application development staff on data management, data architectures, database management
  • Provide database security, backup, and recovery support
  • Proficient with MySQL database

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