GameStop
Data Solution Architect
GameStop, Mc Lean, Virginia, us, 22107
Overview
In today’s rapidly evolving technology landscape, an organization’s data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge.At
Steampunk , our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible.For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information. At Steampunk you will design and develop solutions to high-impact, complex data problems, working with the best data practitioners around. Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps.Contributions
We are looking for a seasoned
Data Solution Architect
to work with our team and our clients to develop enterprise-grade data platforms, services, pipelines, data models, visualizations, and more! The Data Solution Architect needs to be a technologist with excellent communication and customer service skills and a passion for data and problem solving. The Data Solution Architect will also lead the team and provide necessary guidance while regularly interfacing with key customer stakeholders. This role spans the spectrum of data capabilities, from data vision and strategy all the way through data science.Designing greenfield data solution stacks in the cloud or on premises, using the latest data services, products, technology, and industry best practicesArchitecting migration of legacy data environments with performance and reliabilityData Architecture contributions include assessing and understanding data sources, data models and schemas, and data workflowsData Engineering contributions include assessing, understanding, and designing ETL jobs, data pipelines, and workflowsBI and Data Visualization contributions include assessing, understanding, and designing reports, selecting BI tools, creating dynamic dashboards, and setting up data pipelines in support of dashboards and reportsData Science contributions include assessing, understanding, and designing machine learning and AI applications, designing MLOps pipelines, and supporting data scientistsAddressing technical inquiries concerning customization, integration, enterprise architecture, and general feature/functionality of data productsExperience in crafting data lakehouse solutions in the cloud (Preferably AWS; alternatively, Azure, GCP). This includes relational databases, data warehouses, data lakes, and distributed data systems.Key must-have skill sets – broad understanding of data exploitation lifecycle and capabilitiesSupport an Agile software development lifecycleYou will contribute to the growth of our Data Exploitation Practice!Qualifications
RequiredAbility to hold a position of public trust with the US government15 years of industry experience with a Bachelor’s Degree or 12 years of industry experience with a Master’s DegreeAbility to lead and manage development and architecture teamsExperience coding commercial software and a passion for solving complex problems.Experience in leading and managing data solution team(s)5+ years direct experience in Data Solutions with experience in tools such as:Big data tools: Hadoop, Spark, Kafka, etc.Relational SQL and NoSQL databases, such as Postgres, MySQL, MS SQL Server, Oracle, Mongo, etc.Data pipeline and workflow management tools: Airflow, NiFi, etc.AWS cloud services such as EC2, EMR, RDS, Redshift, Glue, SageMaker (or Azure and GCP equivalents)Data streaming systems: Storm, Spark-Streaming, etc.Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc.Search tools: Solr, Lucene, ElasticsearchObject-oriented/scripting languages: Python, Java, C++, Scala, etc.Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.Experience with DBOps and MLOps frameworks and exposure/understanding of DevOpsExperience with message queuing, stream processing, and highly scalable ‘big data’ data stores.Experience manipulating, processing, and extracting value from large, disconnected datasets.Experience manipulating structured and unstructured data for analysisExperience constructing complex queries to analyze results using databases or in a data processing development environmentExperience with data modeling tools and processExperience architecting data systems (transactional and warehouses)Experience aggregating results and/or compiling information for reporting from multiple datasetsExperience working in an Agile environmentExperience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning modelsAbout
Steampunk
Steampunk is a
Change Agent
in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health, and DoD sectors. Through our
Human-Centered delivery methodology , we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an
employee-owned company , we focus on investing in our employees to enable them to do the greatest work of their careers – and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit
http://www.steampunk.com .We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.
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In today’s rapidly evolving technology landscape, an organization’s data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge.At
Steampunk , our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible.For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information. At Steampunk you will design and develop solutions to high-impact, complex data problems, working with the best data practitioners around. Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps.Contributions
We are looking for a seasoned
Data Solution Architect
to work with our team and our clients to develop enterprise-grade data platforms, services, pipelines, data models, visualizations, and more! The Data Solution Architect needs to be a technologist with excellent communication and customer service skills and a passion for data and problem solving. The Data Solution Architect will also lead the team and provide necessary guidance while regularly interfacing with key customer stakeholders. This role spans the spectrum of data capabilities, from data vision and strategy all the way through data science.Designing greenfield data solution stacks in the cloud or on premises, using the latest data services, products, technology, and industry best practicesArchitecting migration of legacy data environments with performance and reliabilityData Architecture contributions include assessing and understanding data sources, data models and schemas, and data workflowsData Engineering contributions include assessing, understanding, and designing ETL jobs, data pipelines, and workflowsBI and Data Visualization contributions include assessing, understanding, and designing reports, selecting BI tools, creating dynamic dashboards, and setting up data pipelines in support of dashboards and reportsData Science contributions include assessing, understanding, and designing machine learning and AI applications, designing MLOps pipelines, and supporting data scientistsAddressing technical inquiries concerning customization, integration, enterprise architecture, and general feature/functionality of data productsExperience in crafting data lakehouse solutions in the cloud (Preferably AWS; alternatively, Azure, GCP). This includes relational databases, data warehouses, data lakes, and distributed data systems.Key must-have skill sets – broad understanding of data exploitation lifecycle and capabilitiesSupport an Agile software development lifecycleYou will contribute to the growth of our Data Exploitation Practice!Qualifications
RequiredAbility to hold a position of public trust with the US government15 years of industry experience with a Bachelor’s Degree or 12 years of industry experience with a Master’s DegreeAbility to lead and manage development and architecture teamsExperience coding commercial software and a passion for solving complex problems.Experience in leading and managing data solution team(s)5+ years direct experience in Data Solutions with experience in tools such as:Big data tools: Hadoop, Spark, Kafka, etc.Relational SQL and NoSQL databases, such as Postgres, MySQL, MS SQL Server, Oracle, Mongo, etc.Data pipeline and workflow management tools: Airflow, NiFi, etc.AWS cloud services such as EC2, EMR, RDS, Redshift, Glue, SageMaker (or Azure and GCP equivalents)Data streaming systems: Storm, Spark-Streaming, etc.Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc.Search tools: Solr, Lucene, ElasticsearchObject-oriented/scripting languages: Python, Java, C++, Scala, etc.Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.Experience with DBOps and MLOps frameworks and exposure/understanding of DevOpsExperience with message queuing, stream processing, and highly scalable ‘big data’ data stores.Experience manipulating, processing, and extracting value from large, disconnected datasets.Experience manipulating structured and unstructured data for analysisExperience constructing complex queries to analyze results using databases or in a data processing development environmentExperience with data modeling tools and processExperience architecting data systems (transactional and warehouses)Experience aggregating results and/or compiling information for reporting from multiple datasetsExperience working in an Agile environmentExperience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning modelsAbout
Steampunk
Steampunk is a
Change Agent
in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health, and DoD sectors. Through our
Human-Centered delivery methodology , we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an
employee-owned company , we focus on investing in our employees to enable them to do the greatest work of their careers – and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit
http://www.steampunk.com .We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.
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