{"schemaVersion":"jobsearcher.job.v1","id":"465ca8d3124ccbd2a3bde730","url":"https://jobsearcher.com/jobs/465ca8d3124ccbd2a3bde730","canonicalUrl":"https://jobsearcher.com/jobs/465ca8d3124ccbd2a3bde730","title":"Data Solution Architect","description":"OverviewWe are looking for seasonedData Solution Architectto 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. This role spans the spectrum of data capabilities, from data vision and strategy all the way through data science.\r\nContributionsDesigning greenfield data solution stacks in the cloud or on premises, using the latest data services, products, technology, and industry best practices\r\nArchitecting migration of legacy data environments with performance and reliability\r\nData Architecture contributions include assessing and understanding historical and current data sources, data models and schemas, and data workflows\r\nData Engineering contributions include assessing, understanding, and designing ETL jobs, data pipelines, and workflows\r\nBI 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 reports\r\nData Science contributions include assessing, understanding, and designing machine learning and AI applications, designing MLOps pipelines, and supporting data scientists\r\nAddressing technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products\r\nExperience in crafting data lakehouse solutions (Preferably Databricks). This includes relational databases, data warehouses, data lakes, and distributed data systems.\r\nKey must have skill sets – broad understanding of data exploitation lifecycle and capabilities and the ability to effectively communicate progress to technical and non-technical stakeholders\r\nExperiencing supporting each step within the Agile software development lifecycle and in gathering and executing upon technical requirements\r\nYou will contribute to the growth of our AI & Data Exploitation Practice!\r\nQualificationsAbility to hold a position of public trust with the US government.\r\nBachelor's degree and 10+ years of total experience.\r\n5+ years industry experience coding commercial software and a passion for solving complex problems.\r\n5+ years direct experience in Data Solutions with experience in tools such as:Big data tools: Databricks, Spark, Kafka, etc.\r\nRelational SQL databases, such as Postgres, MySQL, MS SQL Server, Oracle, etc.\r\nData pipeline and workflow management within the cloud or big data toools\r\nAWS cloud services such as EC2, RDS, Redshift, Glue\r\nData streaming systems: Storm, Spark-Streaming, etc.\r\nData science tools/languages: Python (data preparation and analysis librarie0s), Databricks, 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.\r\nExperience with DBOps and MLOps frameworks and exposure/understanding of DevOps\r\nExperience with message queuing, stream processing, and highly scalable ‘big data’ data stores.\r\nExperience manipulating, processing, and extracting value from large, disconnected datasets.\r\nExperience manipulating structured and unstructured data for analysis.\r\nExperience constructing complex queries to analyze results using databases or in a data processing development environment.\r\nExperience with data modeling tools and process.\r\nExperience architecting data systems (transactional and warehouses).\r\nExperience aggregating results and/or compiling information for reporting from multiple datasets.\r\nExperience working in an Agile and fast-evolving mission environments.\r\nExperience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models.\r\nAboutsteampunkSteampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $180,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here.\r\nIdentity Statement\r\nAs part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.\r\nSteampunk 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.If you want to learn more about our story, visithttp://www.steampunk.com.\r\nWe 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.#J-18808-Ljbffr","company":"Steampunk","rawCompany":"steampunk","city":"Bloomington","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-09-23T01:25:46.727Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Solution Architect","description":"OverviewWe are looking for seasonedData Solution Architectto 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. This role spans the spectrum of data capabilities, from data vision and strategy all the way through data science.\r\nContributionsDesigning greenfield data solution stacks in the cloud or on premises, using the latest data services, products, technology, and industry best practices\r\nArchitecting migration of legacy data environments with performance and reliability\r\nData Architecture contributions include assessing and understanding historical and current data sources, data models and schemas, and data workflows\r\nData Engineering contributions include assessing, understanding, and designing ETL jobs, data pipelines, and workflows\r\nBI 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 reports\r\nData Science contributions include assessing, understanding, and designing machine learning and AI applications, designing MLOps pipelines, and supporting data scientists\r\nAddressing technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products\r\nExperience in crafting data lakehouse solutions (Preferably Databricks). This includes relational databases, data warehouses, data lakes, and distributed data systems.\r\nKey must have skill sets – broad understanding of data exploitation lifecycle and capabilities and the ability to effectively communicate progress to technical and non-technical stakeholders\r\nExperiencing supporting each step within the Agile software development lifecycle and in gathering and executing upon technical requirements\r\nYou will contribute to the growth of our AI & Data Exploitation Practice!\r\nQualificationsAbility to hold a position of public trust with the US government.\r\nBachelor's degree and 10+ years of total experience.\r\n5+ years industry experience coding commercial software and a passion for solving complex problems.\r\n5+ years direct experience in Data Solutions with experience in tools such as:Big data tools: Databricks, Spark, Kafka, etc.\r\nRelational SQL databases, such as Postgres, MySQL, MS SQL Server, Oracle, etc.\r\nData pipeline and workflow management within the cloud or big data toools\r\nAWS cloud services such as EC2, RDS, Redshift, Glue\r\nData streaming systems: Storm, Spark-Streaming, etc.\r\nData science tools/languages: Python (data preparation and analysis librarie0s), Databricks, 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.\r\nExperience with DBOps and MLOps frameworks and exposure/understanding of DevOps\r\nExperience with message queuing, stream processing, and highly scalable ‘big data’ data stores.\r\nExperience manipulating, processing, and extracting value from large, disconnected datasets.\r\nExperience manipulating structured and unstructured data for analysis.\r\nExperience constructing complex queries to analyze results using databases or in a data processing development environment.\r\nExperience with data modeling tools and process.\r\nExperience architecting data systems (transactional and warehouses).\r\nExperience aggregating results and/or compiling information for reporting from multiple datasets.\r\nExperience working in an Agile and fast-evolving mission environments.\r\nExperience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models.\r\nAboutsteampunkSteampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $180,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here.\r\nIdentity Statement\r\nAs part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.\r\nSteampunk 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.If you want to learn more about our story, visithttp://www.steampunk.com.\r\nWe 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. 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