{"schemaVersion":"jobsearcher.job.v1","id":"05b7d7ea6c4aab64bc7f9a88","url":"https://jobsearcher.com/jobs/05b7d7ea6c4aab64bc7f9a88","canonicalUrl":"https://jobsearcher.com/jobs/05b7d7ea6c4aab64bc7f9a88","title":"Data Solution Architect","description":"Overview:\nWe 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. This role spans the spectrum of data capabilities, from data vision and strategy all the way through data science.\nContributions:\nResponsibilities include:\nDesign greenfield data solution stacks in cloud and on-premises environments using modern data services, technologies, products, and industry best practices.\nLead and architect the migration of legacy data environments to ensure performance and reliability.\nAssess data sources, data models, schemas, and data workflows to define scalable and maintainable enterprise data architectures.\nAssess existing ETL jobs, data pipelines, workflows, BI tools, and reporting solutions to develop scalable modernization strategies and enterprise data solutions.\nAddress technical inquiries concerning customization, integration, enterprise architecture, and the general functionality of data products.\nDesign enterprise database, data warehouse, and lakehouse solutions using Databricks across AWS, Azure, or GCP environments.\nSupport an Agile software development lifecycle through architectural guidance and collaboration with cross-functional teams.\nYou will contribute to the growth of our Data Exploitation Practice!\n\nQualifications:\nAbility to hold a position of public trust with the U.S. Government.\nExperience supporting military data programs or holding a previous or active U.S. Government security clearance is preferred.\n12+ years of experience with a Bachelor's degree or 8+ years of experience with a Master's degree.\n8-12 years of industry experience in data engineering with a passion for solving complex problems.\n8-12 years of direct experience in Data Engineering with demonstrated experience in the following:\nDesigning and building data pipelines and data products on modern lakehouse platforms (e.g., Databricks, Apache Spark), including Delta Lake, distributed processing, and performance optimization.\nSupporting or integrating GenAI/ML workflows (e.g., feature engineering, vector storage, RAW pipelines, or model lifecycle using tools such as MLflow).\nOperating in enterprise or regulated cloud environments, including working within platform constraints, security controls, and data governance frameworks.\nBuilding batch and streaming data pipelines using distributed processing frameworks (e.g., Apache Spark Structured Streaming) within a lakehouse architecture.\nImplementing search and retrieval patterns for analytics or AI use cases (e.g., indexing, semantic search, vector-based retrieval).\nAdvanced proficiency in SQL and Python for data engineering, including query authoring, optimization, relational databases, and distributed data processing frameworks (e.g., Apache Spark).\nStrong ability to lead technical discussions with technical and non-technical stakeholders, translating business needs into actionable data solutions, communicating tradeoffs, driving alignment, and guiding decision-making.\nDemonstrated ability to evaluate solution feasibility, identify risks and constraints, and make pragmatic recommendations in complex or ambiguous environments.\nExperience constructing complex queries to analyze results using databases or data processing development environments.\nExperience architecting enterprise database, data warehouse, and lakehouse solutions.\nExperience aggregating results and compiling information for reporting from multiple datasets.\nExperience working in an Agile environment.\nExperience providing technical leadership to cross-functional teams of developers and data scientists building web-based interfaces, dashboards, reports, analytics, and machine learning solutions.\n\nAbout steampunk:\nSteampunk 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.\n\nIdentity Statement\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.\n\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. 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.\n\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.","company":"Steampunk","rawCompany":"steampunk","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-07-23T13:22:53.901Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Solution Architect","description":"Overview:\nWe 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. This role spans the spectrum of data capabilities, from data vision and strategy all the way through data science.\nContributions:\nResponsibilities include:\nDesign greenfield data solution stacks in cloud and on-premises environments using modern data services, technologies, products, and industry best practices.\nLead and architect the migration of legacy data environments to ensure performance and reliability.\nAssess data sources, data models, schemas, and data workflows to define scalable and maintainable enterprise data architectures.\nAssess existing ETL jobs, data pipelines, workflows, BI tools, and reporting solutions to develop scalable modernization strategies and enterprise data solutions.\nAddress technical inquiries concerning customization, integration, enterprise architecture, and the general functionality of data products.\nDesign enterprise database, data warehouse, and lakehouse solutions using Databricks across AWS, Azure, or GCP environments.\nSupport an Agile software development lifecycle through architectural guidance and collaboration with cross-functional teams.\nYou will contribute to the growth of our Data Exploitation Practice!\n\nQualifications:\nAbility to hold a position of public trust with the U.S. Government.\nExperience supporting military data programs or holding a previous or active U.S. Government security clearance is preferred.\n12+ years of experience with a Bachelor's degree or 8+ years of experience with a Master's degree.\n8-12 years of industry experience in data engineering with a passion for solving complex problems.\n8-12 years of direct experience in Data Engineering with demonstrated experience in the following:\nDesigning and building data pipelines and data products on modern lakehouse platforms (e.g., Databricks, Apache Spark), including Delta Lake, distributed processing, and performance optimization.\nSupporting or integrating GenAI/ML workflows (e.g., feature engineering, vector storage, RAW pipelines, or model lifecycle using tools such as MLflow).\nOperating in enterprise or regulated cloud environments, including working within platform constraints, security controls, and data governance frameworks.\nBuilding batch and streaming data pipelines using distributed processing frameworks (e.g., Apache Spark Structured Streaming) within a lakehouse architecture.\nImplementing search and retrieval patterns for analytics or AI use cases (e.g., indexing, semantic search, vector-based retrieval).\nAdvanced proficiency in SQL and Python for data engineering, including query authoring, optimization, relational databases, and distributed data processing frameworks (e.g., Apache Spark).\nStrong ability to lead technical discussions with technical and non-technical stakeholders, translating business needs into actionable data solutions, communicating tradeoffs, driving alignment, and guiding decision-making.\nDemonstrated ability to evaluate solution feasibility, identify risks and constraints, and make pragmatic recommendations in complex or ambiguous environments.\nExperience constructing complex queries to analyze results using databases or data processing development environments.\nExperience architecting enterprise database, data warehouse, and lakehouse solutions.\nExperience aggregating results and compiling information for reporting from multiple datasets.\nExperience working in an Agile environment.\nExperience providing technical leadership to cross-functional teams of developers and data scientists building web-based interfaces, dashboards, reports, analytics, and machine learning solutions.\n\nAbout steampunk:\nSteampunk 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.\n\nIdentity Statement\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.\n\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. 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.\n\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.","datePosted":"2026-07-23T13:22:53.901Z","dateModified":"2026-07-23T13:22:53.901Z","hiringOrganization":{"@type":"Organization","name":"Steampunk","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"05b7d7ea6c4aab64bc7f9a88"},"url":"https://jobsearcher.com/jobs/05b7d7ea6c4aab64bc7f9a88"}}