Big Data Architect Resume Sample

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Jayme Von
2076 Elaina Cliff,  Chicago, IL
+1 (555) 286 4990

Work Experience

Senior Big Data Architect
01/2016 - PRESENT
Dallas, TX
  • Experience in ETL design and development (i.e. Informatica, Talend, Pentaho)
  • Experience in data warehousing, business intelligence, relational database environments, SQL, and data modelling
  • Experience with UNIX/Linux including basic commands, shell scripting and system administration/ configuration
  • Experienced with the agile development methodology
  • Running large engagements or multiple small engagements
  • Contributing your expertise to strategy and roadmaps
  • Contributing to the growth of the Sydney practice
Big Data Architect
01/2013 - 12/2015
Phoenix, AZ
  • Transactional data (not data warehouse)
  • Hands-on experience with designing and implementing distributed architecture systems to petabyte data handling using OpenSource software
  • Expert in modern distributed architectures and compute / data analytics / storage technologies on AWS or similar platforms
  • Hands-on experience with programming language such as Java/Python/C#/Scala
  • Has applied architectural principles and design patterns / styles using parallel large-scale distributed frameworks such as Hadoop / Spark
  • Experience working with Agile development methodologies and tools (Jira, Confluence) in a compliance driven environment and hands-on experience with service-oriented / micro service architecture implementations (service bus, event processing, message queuing and workflow automation) including frameworks such as AWS, Informatica and other OpenSource solutions
  • Deep knowledge and experience with RDBMS (MySQL, PostgreSQL, SQL Server) and NoSQL databases such as HBase, CouchBase, Vertica, MongoDB, DynamoDB, Cassandra
  • Demonstrated hands-on experience with at-least one of the major Hadoop distributions (Preferably HortonWorks)
Junior Big Data Architect
08/2006 - 10/2012
Houston, TX
  • The Typesafe Reactive platform (we use Scala, Akka, Play, and Spark) 5. Apache Spark and Big Data in general 6. Java and JVM languages 7. Devops and cloudops concepts: SBT, Typesafe Activator, Jenkins CI, git, docker 8. Preferentially, Apache Mesos
  • Data visualization ­ knowledge of tools that are cost-effective and make it easy for end users to better understand and produce reports and graphs
  • Experienced in Hadoop, Cassandra, Kafka, Storm, Apache Spark and other industry-leading big data tools
  • Data analytics ­ strong backgrounds in statistics, machine learning and similar technologies
  • Develop an understanding of the proprietary CRM platform and Operational/Analytics needs within 30 days
  • Produce data modelling for all areas in the digital line of business including Payments, Emerging Payments, Accounts, etc
  • Data Engineering- work with the actual data and make sense of it. Data conditioning, data manipulation etc
  • Functional Engineering- data tools (tableau, Talend), ETL tools, metadata, models for Cassandra / Hive
  • Data governance in messaging technology


Virginia International University
2001 - 2005
Engineer's Degree in Computer Science

Professional Skills

  • Strong inter -personnel skills to facilitate positive working relationships with excellent customer service skills
  • Excellent consulting skills, oral and written communication, presentation, and analytical skills
  • Combine strong analytical and technical skills with business skills to engage with a wide range of stakeholders
  • Excellent verbal and written skills, with proven ability to communicate ideas and to design and document projects in a clear, concise way
  • Experience in advanced analytics and demonstrated skills in visualization tools such as Tableau, Spotfire, SPSS, etc
  • Experience in architecting, designing and implementing solutions using big data technologies(mentioned in Primary Skills)
  • Exceptional written and verbal communication skills, including experience estimating technical solution builds, and contributing to custom proposals

How to write Big Data Architect Resume

Big Data Architect role is responsible for programming, java, python, reporting, communications, leadership, scripting, sql, database, analytical.
To write great resume for big data architect job, your resume must include:

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

Contact Information For Big Data Architect Resume

The section contact information is important in your big 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 Big Data Architect Resume

The section work experience is an essential part of your big 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 big 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 big data architect position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Big Data Architect resume experience can include:

  • Expert in at least one general programming language like Java, Python, or C/C++, with strongUnix scripting skills
  • Strong leadership skills, a consistent record of delivering projects on time, a quickness to learn and adapt to changes.
  • Use excellent communication, negotiation, and influencing skills to persuade our clients and gain their buy-in
  • Strong Programming skills (such as Hadoop MapReduce or other big data frameworks)
  • Strong application architecture experience & good coding practice
  • Strong SQL and data profiling skills

Education on a Big Data Architect Resume

Make sure to make education a priority on your big 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 big 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 Big Data Architect Resume

When listing skills on your big 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 big data architect skills:

  • Good communication skills to effectively work with a diverse set of engineering, operations, data science, technical, product and managerial stakeholders
  • Prepared hands-on ability, with programming skills, familiar c + + / java / python (required skills)
  • Strong communications skills, with experience influencing others with well-developed recommendations
  • Strong verbal, written, and interpersonal skills, including a desire to work within a highly-matrixed, team-oriented environment
  • Excellent communication/influencing skills and ability to navigate through matrixed, integrated organizations
  • Architect strong and well-founded points of view and effectively communicate them to all levels of organization, including peers and subordinates

List of Typical Experience For a Big Data Architect Resume


Experience For Big Data Architect Resume

  • Keen problem solver and excellent analytic skills
  • Solid language skills in German
  • Strong Object Oriented programming experience using Java required
  • Analytical skills to troubleshoot, identify & resolve data quality and reporting issues
  • Demonstrated database analysis experience with many projects as the application development system designer or technical lead on “very large” projects
  • Experience with Apache Spark and Amazon Redshift is ideal, but experience with big data technologies is required

Experience For Senior Big Data Architect Resume

  • Experience with various ingestion patterns for large data sets Experience with Open Source and NoSQL technologies (e.g. MongoDB, Redis) at an Enterprise level
  • Strong experience with Microservice or other distributed architectures
  • Develop the skills plan & budget requirements to support the new / current offerings
  • Able to work effectively cross functionally with matrixed resources
  • Desired – DevOps skills – CI, CD, automation, scripting, IAC, etc
  • Significant experience within an IT related role with a strong focus on solution architecture/design techniques
  • Hands on experience in Big data implementations using Hadoop. Experience in the entire project life cycle – from concept/POC to build/test to production
  • Strong experience of distributed and NoSQL databases
  • Strong experience with Microservices or other distributed architectures

Experience For Principal Big Data Architect Resume

  • Mentor team members on best practices and skills in area of expertise
  • Work effectively and in real-time with other developers, product managers, and customers to deliver on collective goals
  • Possess strong, hands-on technical experience in distributed (mostly Linux but some Windows) systems and technologies
  • Strong Apache spark experience required
  • Effectively communicate with clients to contribute throughout the end-to-end delivery lifecycle of complex and large-scale Big Data lakes
  • Communicate effectively with technicians and business community is a requirement
  • Highly collaborative with exceptional communication / presentation skills
  • Demonstrated leadership experience: thought leadership & practical leadership of teams of people
  • Data Science skills & knowledge of the R and/or Python data science libraries (numpy/scipy/skit-learn/panda)

Experience For Lead Big Data Architect Resume

  • Development skills: Pig / Python / Java or C++
  • Core Sales Skills
  • Recent experience scaling and modifying Hadoop ecosystem—including: HDFS, Web HDFS, HBase, Spark, HIVE, PIG, MapReduce, ZooKeeper and Kafka
  • Experience in conducting performance tuning of Hadoop clusters. Monitor and manage Hadoop cluster job, performance capacity planning, and security
  • Optionally, experience with programming scripting languages such as Java, Python, Pearl, Ruby, Scala
  • Experience in Installing and Configuring Cloudera
  • Five years of experience building data solutions in an EDW or big data environment in a businesssetting, with at least two years spent in the mortgage industry

Experience For Big Data Architect Lead Resume

  • Experience in understanding data processing from Teradata/ Oracle or any SQL database environment
  • Experience using ETL and other data wrangling tools
  • 3+ years of experience in building machine models in R, Python or SAS , using techniques such as Random Forest, ANN, SVM, logistic regression
  • Experience provide advice and guidance on data warehousing approaches and solutions, and use of data warehousing methodology
  • Responsible for developing and extending strong client relationships
  • Experience within data warehousing, data integration and Customer Centric Decision Marketing and Insight solutions for large scale data complex organisations
  • Customer facing/experience delivering to business requirements
  • Experience Architecting Big Data platforms using Apache Hadoop, Cloudera, Hortonworks and MapR distributions
  • Show a strong comfort level working in a dynamic, research and development environment with several ongoing concurrent projects

Experience For Big Data Architect / Engineer Resume

  • Experience in leading end-to-end business process design, business events derivation and associated data objects and entity modeling
  • Experience in the development of enterprise systems for processing of large volumes of data, ideally using Spark
  • Strong knowledge of programming and scripting languages such as Java, Linus, PHP, Ruby, Phyton
  • Good understanding of Operating Systems (Unix/Linux), Networks and Systems Administration
  • Five year’s experience working with Scala, Java, Python or other predictive modeling tools
  • Experience in data warehouse environment and knowledge of existing and emerging data integration approaches
  • Experience in data architecture of designing and developing logical data models
  • Several years experience in /as an architect in the data warehousing and BI space (incl. SQL / Data Modelling, Data Integration, Data Governance)
  • Experience with progressively increasing responsibilities in the areas of software analysis, design, development and architecture

Experience For Enterprise Infrastructure Big Data Architect Resume

  • Experience and the ability to lead development activities using Agile Scrum methodologies
  • Big Data Architecture, Information and Business Intelligence strategy engagement experience in banking domain
  • Solution architecture experience in translating business needs and vision into roadmap, project deliverables and organization strategy
  • Experience in designing big data lake/warehouse for data integration from enterprise wide applications/systems
  • Good knowledge of Big Data querying tools, such as Pig or Hive

Experience For Equity Finance Big Data Architect Resume

  • Architecture and applications experience on incorporating innovative data analytic technologies such as Hadoop, Spark, SparkSQL, HBase and others
  • Experience with Python, R and various Machine Learning techniques
  • Experience delivering Machine Learned Models into production code is critical
  • Experience with Statistical modeling (like Jupyter, python or R)
  • Experience working in the Financial domain
  • Data Management, Architecture, and Modeling experience
  • (Required) 5+ years of experience in Data architecture or engineering roles

Experience For Informatica Big Data Architect Resume

  • (Required)Technical Architecture experience in ETL, reporting and analytics products like Pentaho, Informatica, SSIS, Cognos, SAS, R, Python, etc
  • Hands-on experience deploying solutions into Kubernetes or DC/OS
  • Experience establishing and enforce data governance functions and frameworks
  • Excellent understanding of software development life cycle and quality processes
  • Experience with Web technologies, Digital systems and Video streaming technologies
  • Good understanding of business processes, practices and approaches

Experience For Big Data Architect / Developer Resume

  • Good understanding of data, information and content
  • Strong understanding of design and architecture patterns and how to apply them
  • Strong understanding of one or more of infrastructure, applications and information architecture
  • Experience of working on the design of enterprise data lake in multi-tenant environment
  • Experience in building end-to-end solution to migrate EDW on relational databases to Hadoop platform
  • Experience in Big Data, data science, machine learning

List of Typical Skills For a Big Data Architect Resume


Skills For Big Data Architect Resume

  • Excellent communication skills to engage with senior management, internal customers and product management
  • Strong communication skills – listening, verbal, written and presentation
  • Distinct customer focus and quality mindset, coupled with excellent client engagement and management skills
  • String scripting skills in Perl / Python / Shell Scripting / Ruby on Rails
  • Scripting/programming skills – Java, Scala or Python
  • Scripting/Programming skills – Python, Java, Scala, Go
  • Acting as a thought leader demonstrating strong digital transformation, AI, analytics and data management industry experience
  • Demonstrated technology and leadership experience in architecting, designing and building highly scalable OLTP/OLAP applications

Skills For Senior Big Data Architect Resume

  • Desired - Data architecture, data modelling experience. Experience building data processing pipelines on the cloud
  • Good experience in SPARK,Pig/SQOOP/Kafka/Flume/HBase/Oozie for extracting near real-time data & event messaging and processing
  • Demonstrated experience in creating medium to large-scale enterprise logical data models using normalization techniques
  • Strong experience using at least one of the top data modeling tools, such as ERwin, ER/Studio or PowerDesigner
  • Strong experience with Cloudera/HortonWorks/MapR versions along with Monitoring/Alerting tools
  • Good experience in offloading/loading data in RDBMS & HDFS

Skills For Principal Big Data Architect Resume

  • Develop and recommend novel and innovative -- yet proven and demonstrated -- approaches to solving business and technical problem using analytics solutions
  • Demonstrated ability and experience in the entire solution development cycle: from design, implementation, and debugging, to shipping and maintenance
  • Experienced Architect with hands on working experience on Hadoop, Spark, Kafka, MapReduce, HDFS, Hive, Pig Sqoop and Oozie
  • Proven experience desinging complex HA and FT distributed Solutions and Products
  • Strong experience translating use cases into database and cloud architecture design
  • Technical writing, system documentation, design document-management skills
  • Database (especially NOSQL) & operating system skills. SQL and/or Linux
  • Able to work both independently and in various team settings; able to work under pressure with a solid sense for setting priorities

Skills For Lead Big Data Architect Resume

  • Good experience in hive scripts, Map reduce, handling incremental data
  • Demonstrated understanding and experience of enterprise data warehouse, big data, cloud, BI & analytics, content management and data management
  • Demonstrated experience in leading manipulation of large datasets to successful conclusions
  • Strong stakeholder management experience including a hard fought and fiercely protected key executive contact network
  • Experience providing IT architecture expertise or similar experience
  • Solid exposure to traditional Data Warehousing, MPP data stores and experience on at least-one data stores like Redshift, Vertica, SAP Hana
  • Strong experience in end to end data management-data acquisition, data model, data storage, data access-with various tools and technologies
  • Strong experience in data management and architecture in RDBMS and SQL based tools
  • Solid experience with applying agile methodology and quality in Big Data environment

Skills For Big Data Architect Lead Resume

  • Work effectively across all levels of the organization
  • Hadoop experience- Strong knowledge in HDFS, Hive, Hbase with expertise in performance tuning and implementing best practices
  • Solid work experience working with Hadoop, Elastic Map Reduce (EMR) and Redshift or Big Table and Big Query is required
  • Prior experience developing on parallel or multi-threaded systems
  • Interpersonal skills developed through previous client-facing implementation projects

Skills For Big Data Architect / Engineer Resume

  • Prior experience with the software stacks of Hadoop vendors like Cloudera and Hortonworks
  • Demonstrated experience in the Big Data/NO SQL environment
  • Architecture experience with unstructured data and search experience
  • Working experience in NoSQL solutions (Hbase, Cassandra, MongoDB, CouchDB etc.) and managing unstructured data
  • Working experience with modern RDBMS and NoSQL
  • Working experience with Hadoop (HDFS,Yarn,Spark)
  • Programming Mapreduce and integration/consolidation queries in Scala (or Java or Python), Spark and (SparkML welcome)
  • Banking domain experience highly desired
  • Experience working within a Linux computing environment, and use of command line tools including knowledge of shell scripting for automating common tasks

Skills For Enterprise Infrastructure Big Data Architect Resume

  • At least five years of experience leading big data architecture projects involving large-scale, varied-source data ingestion, modelling, and profiling
  • Project experience in designing or migrating existing systems using technologies such as: Hadoop, HDInsight, Spark, Hive, Pig, Sqoop, HDFS
  • Project experience in designing or migrating existing systems using technologies such as: Hadoop, HDInsight, Spark, Hive, Pig, Sqoop, HDFS, NoSQL
  • Hands-on experience in designing, deploying, and supporting enterprise data warehouses and/or distributed processing platforms
  • Excellent understanding of operating systems including troubleshooting
  • Experience in capacity planning, cluster designing and deployment, troubleshooting and tuning
  • Acted previously as architect, with demonstrated responsibility of designing, developing, deploying and improving solutions
  • Experience in Designing and Developing applications using Micro Services

Skills For Equity Finance Big Data Architect Resume

  • Strong track record in selling & delivering in Big Data & Warehousing
  • Proven track record of delivering and maintaining a cloud service offering in the big data or related domain
  • Applicable experience in architecting, developing and administering big data platforms in cloud and/or on premise
  • Experience in designing and delivering large scale data warehousing and big data solutions
  • Solid understanding of Enterprise patterns and applying best practices when integrating various inputs and outputs together at scale
  • Deep understanding of continuous integration and continuous delivery practices, including experience managing test automation engineers
  • Establish a strong engineering team by participating in the assessment and development of engineering team members

Skills For Informatica Big Data Architect Resume

  • Strong working knowledge of Relational Databases, Decisioning tools and front-end reporting tools
  • Experience in programming and development of scalable enterprise applications using J2EE, Scala or Python, Web Services and Spring Framework
  • More than 8+ years of experience designing, architecting Data Warehousing platforms
  • Experience developing and testing Machine Learning and/or statistical projects
  • Experience in performing testing on Hadoop instance
  • DevOps experience, including an appreciation of the CI/CD model and a desire to build to ease consumption and monitoring of the system

Skills For Big Data Architect / Developer Resume

  • Experience in building self-contained applications using Docker, Vagrant, Puppet, and/or Chef
  • Real time streaming technologies – strong understanding of Spark etc
  • Experience in client facing and/or consulting roles
  • Skilled in reaching solutions based on thorough analyses; team player but also independent; determined and resilient in solving problems
  • Experience working with very large data sets and knowledge of building programs that leverage Hadoop platforms
  • Experience in architecting and engineering innovative data analysis solutions
  • (Desired) Experience or knowledge of emerging field of data science and machine learning

List of Typical Responsibilities For a Big Data Architect Resume


Responsibilities For Big Data Architect Resume

  • RDBMS skills – SQL, optimization techniques, etc
  • Working experience within DevOps and agile principles
  • Experience analyzing, designing, developing, implementing and supporting business intelligence technical solutions
  • Experience developing ETL processing flows using MapReduce technologies like Spark and Hadoop
  • Demonstrate confidence in presenting, evangelizing and translating the business value of Big Data to C-Suite executives and internal/external stakeholders

Responsibilities For Senior Big Data Architect Resume

  • Established experience of designing and building analytical data warehouses
  • Experience developing with ingestion and clustering frameworks such as Kafka, Zookeeper, YARN
  • Experience designing and supporting data pipelines for a large number of stakeholders with disparate needs
  • Experience designing and launching big data initiatives from the ground up
  • Big Data experience, including implementing solutions in Hadoop
  • Experience guiding and mentoring 5-8 developers on various tasks
  • Experience with Machine Learning Algorithms, AI, and Predictive Modeling techniques

Responsibilities For Principal Big Data Architect Resume

  • Have competency and evidence of success communicating complicated concepts to audiences of varying levels of sophistication
  • Advanced experience in software engineering, algorithm design and complexity
  • Experience developing with modern JDK (v1.7+)
  • Excellent communication, ‘can do’ attitude and a team player and influencing relationship to manage client and business
  • Experience working with IaaS and PaaS with any major Cloud provider: GCP, AWS, Azure

Responsibilities For Lead Big Data Architect Resume

  • Experience working with large scale enterprise organization with Front/Back Office applications
  • Experience in service development and consulting
  • Hands on experience on Machine Learning with Intermediate level expertise on Data science
  • IT architecture experience in a machine learning environment
  • Experience working in a data integration or data administration role
  • Proven background in developing Big Data solutions in enterprise Azure environments
  • Extensive experience migrating to legacy platforms to Microsoft’s enterprise Azure suite
  • Experience using Hive, Scala, Pig, Spark, etc

Responsibilities For Big Data Architect Lead Resume

  • Experience with search indexing systems. Solr, ElasticSearch etc
  • Experience with Data Modeling
  • Familiar with real-time processing system, related project experience
  • Experience in software engineering
  • Experience with leading-edge Big Data technologies, such as Kafka, Spark, Hadoop, MongoDB, SQL
  • Solid understanding of data hygiene, data quality and data management/governance, for example, data flow documentation and measurement

Responsibilities For Big Data Architect / Engineer Resume

  • Experience building systems with high uptime (3+ nines) and reliability requirements
  • Experience with building data pipelines end to end
  • Previous Tier 1, Big 4 consulting experience
  • Experience building intensive data driven applications
  • Experience with designing metadata management system on big data platform
  • Experience working in a software, data or architecture role
  • Experience leading architecture work, and Jr Architect resources
  • Demonstrate ability to drive change, persuade and influence a wide group of people, including Senior Management
  • Demonstrable experience as the primary/lead architect of an end-to-end real-time data processing pipeline

Responsibilities For Enterprise Infrastructure Big Data Architect Resume

  • Experience with scripting, preferably Python
  • Experience in scripting languages (e.g., bash, Python, PowerShell)
  • Experience with Shell Scripting
  • Hands-on experience and extensive knowledge of Hadoop based data manipulation/storage technologies HDFS, MapReduce, Yarn, HBASE, HIVE, Pig, Impala and Sentry
  • Big Data visionary experience
  • The ability to lead a team of skilled developers
  • Demonstrated technical leadership in multifunctional and cross-disciplinary teams

Responsibilities For Equity Finance Big Data Architect Resume

  • Advanced hands-on experience with Microsoft Office software
  • Serve as an expert in efficient ETL, data quality, and data consolidation
  • Validation of the conception of Big Data assets (such as custom framework)
  • Develop the high level build and launch plan/priority for the offerings in alignment with Cognizant focus areas
  • Hands on experience in big data platforms (Cloudera/Hortonworks/MapR/Open Source Hadoop)

Responsibilities For Informatica Big Data Architect Resume

  • Experienced in data ingestion for structured, semi-structured and unstructured data
  • Experience with Big Data technologies such as Spark, Kafka, Elastic Search, and/or Hadoop required
  • At least 6 months’ experience with source code repository (i.e. SVN and GIT) and build tools (i.e. Maven)
  • At least 6 months’ development experience with NoSQL database development (i.e. Cassandra and Datomic)
  • Experience within an Agile/Scrum environment
  • Software development experience in an enterprise grade data solution and services with Scala, Java, Go or other languages

Responsibilities For Big Data Architect / Developer Resume

  • Monitor the effectiveness of assets developed
  • Validate/Propose leverage of accelerators
  • Architecting and building a “big data” solution by understanding client, business, and technical requirements
  • Working knowledge of programing and scripting language – like java, perl, python, javascript, unix script etc
  • Identifying and ensuring the resolution of possible technical and client implications of each release
  • Caching and queueing technologies – Kafka/Kinesis, Rabbitmq/SQS, Redis/Memcache etc
  • Recruiting and mentoring technical consultants

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