{"schemaVersion":"jobsearcher.job.v1","id":"dbccd06e3f710a1f6b3b6464","url":"https://jobsearcher.com/jobs/dbccd06e3f710a1f6b3b6464","canonicalUrl":"https://jobsearcher.com/jobs/dbccd06e3f710a1f6b3b6464","title":"Senior Solution Architect","description":"Washington, Minnesota\nJob Summary\n\nWe are seeking an experienced Data Services Delivery (DSD) Leader to own the end-to-end delivery of data services, spanning both Application/Data Development and Production Support. This is a hybrid technical-managerial role for a leader who can balance hands-on technical credibility with large-scale program leadership. The ideal candidate has successfully run large, complex data programs, managed distributed delivery teams, and driven operational excellence across the full data lifecycle ‚from build to run.\n\nKey Responsibilities\n\nEnd-to-End Delivery Ownership\n\nOwn and drive end-to-end data services delivery, covering both new development/enhancements and L1/L2/L3 production support for data platforms, pipelines, and integrations.\nAct as the single point of accountability for delivery commitments, SLAs, and quality across the data services portfolio.\nDefine and implement delivery governance, ensuring predictable, high-quality outcomes across multiple concurrent workstreams.\nFarming existing accounts for AI and Data Opportunities and improving repeat business value at account level for Data & AI opportunities.\n\nProgram & Stakeholder Leadership\n\nLead large, cross-functional data programs involving multiple teams, vendors, and stakeholders across geographies.\nPartner with business, product, and engineering leadership to translate strategic priorities into delivery roadmaps.\nManage program-level risk, budget, resourcing, and executive reporting/status updates.\n\nTechnical Leadership\n\nProvide hands-on technical direction on data architecture, pipeline design, data quality frameworks, and modern data platforms (cloud data warehouses, ETL/ELT, orchestration tools, etc.).\nReview and guide technical design decisions; ensure engineering best practices, scalability, and cost-efficiency.\nStay close enough to the technology to credibly engage in architecture discussions, troubleshoot escalations, and mentor technical teams.\nParticipate in technical solutioning for AI and Data opportunities, Solutions and Accelerators\n\nSupport Operations Management\n\nOwn production support operations for data platforms ‚incident management, root cause analysis, problem management, and continuous service improvement.\nEstablish and monitor SLAs/OLAs, KPIs, and dashboards for support performance (MTTR, ticket volume, recurring issues, etc.).\nDrive automation and self-healing initiatives to reduce manual support effort and improve system reliability.\n\nTeam Leadership & Development\n\nBuild, lead, and mentor a team of technical leads, developers, and support engineers across development and support functions.\nFoster a culture of ownership, continuous improvement, and technical excellence.\nManage staffing, performance, and capacity planning across development and support pods.\n\nProcess & Governance\n\nImplement and mature delivery frameworks (Agile/Scrum, ITIL, DevOps/DataOps practices) suited to a dual development + support model.\nDrive continuous improvement in delivery processes, tooling, and documentation.\nEnsure compliance with data governance, security, and regulatory requirements.\nSkill Requirements\n15+ years of overall experience in data engineering/technology delivery, with 5+ years in a leadership role managing delivery and/or support teams.\nProven experience leading large, complex data programs end-to-end (multi-team, multi-vendor, cross-geography).\nStrong technical background in data engineering ‚hands-on or recent hands-on experience with:\nData pipelines/ETL-ELT tools (e.g., Informatica, Talend, dbt, Airflow, ADF)\nCloud data platforms (e.g., Snowflake, Databricks, AWS Redshift, Azure Synapse, GCP BigQuery)\nSQL and at least one programming language (Python, Scala, Java)\nData Governance, Data Management Services, Data modeling, Warehousing, and Integration Concepts\nDemonstrated experience owning both delivery/development and production support functions.\nStrong experience with ITIL-based support models, incident/problem management, and SLA governance.\nExcellent stakeholder management skills ‚comfortable engaging with senior business and technology leadership.\nExperience with Agile/Scrum and DevOps/DataOps delivery practices.\nStrong people leadership experience ‚managing, mentoring, and growing technical teams (typically 20 - 1000+ FTEs, including onshore/offshore models).\n\nPreferred Qualifications\n\nExperience in managed services / global delivery / shared services environment.\nExposure to data governance, data quality, and metadata management frameworks\nRelevant certifications (PMP, SAFe, ITIL, cloud platform certifications).\nExperience with FinOps/cost optimization for cloud data platforms.\nPrior experience in [Insert relevant industry, e.g., Banking, Healthcare, Retail].\n\nKey Attributes\n\nTechnical credibility ‚can go deep enough to challenge architecture and troubleshoot with the team, not just manage from a distance.\nExecution-focused ‚track record of delivering large programs on time, on budget, and at quality.\nBalances build and run ‚equally comfortable driving new development and stabilizing/operating live systems.\nStrong communicator ‚able to translate technical complexity into business impact for senior stakeholders.\nCalm under pressure ‚experienced in managing production incidents and escalations without losing sight of long-term delivery goals.\nOther Requirements\nStrong technical background in data engineering ‚hands-on or recent hands-on experience with:\nData pipelines/ETL-ELT tools (e.g., Informatica, Talend, dbt, Airflow, ADF)\nCloud data platforms (e.g., Snowflake, Databricks, AWS Redshift, Azure Synapse, GCP BigQuery)\nSQL and at least one programming language (Python, Scala, Java)\nData Governance, Data Management Services, Data modeling, Warehousing, and Integration Concepts.\nMaximum Salary (US): 263000\nMinimum Salary (US): 155000\n#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-","company":"HCLTech","rawCompany":"hcltech","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-08-04T23:26:55.156Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"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":"Senior Solution Architect","description":"Washington, Minnesota\nJob Summary\n\nWe are seeking an experienced Data Services Delivery (DSD) Leader to own the end-to-end delivery of data services, spanning both Application/Data Development and Production Support. This is a hybrid technical-managerial role for a leader who can balance hands-on technical credibility with large-scale program leadership. The ideal candidate has successfully run large, complex data programs, managed distributed delivery teams, and driven operational excellence across the full data lifecycle ‚from build to run.\n\nKey Responsibilities\n\nEnd-to-End Delivery Ownership\n\nOwn and drive end-to-end data services delivery, covering both new development/enhancements and L1/L2/L3 production support for data platforms, pipelines, and integrations.\nAct as the single point of accountability for delivery commitments, SLAs, and quality across the data services portfolio.\nDefine and implement delivery governance, ensuring predictable, high-quality outcomes across multiple concurrent workstreams.\nFarming existing accounts for AI and Data Opportunities and improving repeat business value at account level for Data & AI opportunities.\n\nProgram & Stakeholder Leadership\n\nLead large, cross-functional data programs involving multiple teams, vendors, and stakeholders across geographies.\nPartner with business, product, and engineering leadership to translate strategic priorities into delivery roadmaps.\nManage program-level risk, budget, resourcing, and executive reporting/status updates.\n\nTechnical Leadership\n\nProvide hands-on technical direction on data architecture, pipeline design, data quality frameworks, and modern data platforms (cloud data warehouses, ETL/ELT, orchestration tools, etc.).\nReview and guide technical design decisions; ensure engineering best practices, scalability, and cost-efficiency.\nStay close enough to the technology to credibly engage in architecture discussions, troubleshoot escalations, and mentor technical teams.\nParticipate in technical solutioning for AI and Data opportunities, Solutions and Accelerators\n\nSupport Operations Management\n\nOwn production support operations for data platforms ‚incident management, root cause analysis, problem management, and continuous service improvement.\nEstablish and monitor SLAs/OLAs, KPIs, and dashboards for support performance (MTTR, ticket volume, recurring issues, etc.).\nDrive automation and self-healing initiatives to reduce manual support effort and improve system reliability.\n\nTeam Leadership & Development\n\nBuild, lead, and mentor a team of technical leads, developers, and support engineers across development and support functions.\nFoster a culture of ownership, continuous improvement, and technical excellence.\nManage staffing, performance, and capacity planning across development and support pods.\n\nProcess & Governance\n\nImplement and mature delivery frameworks (Agile/Scrum, ITIL, DevOps/DataOps practices) suited to a dual development + support model.\nDrive continuous improvement in delivery processes, tooling, and documentation.\nEnsure compliance with data governance, security, and regulatory requirements.\nSkill Requirements\n15+ years of overall experience in data engineering/technology delivery, with 5+ years in a leadership role managing delivery and/or support teams.\nProven experience leading large, complex data programs end-to-end (multi-team, multi-vendor, cross-geography).\nStrong technical background in data engineering ‚hands-on or recent hands-on experience with:\nData pipelines/ETL-ELT tools (e.g., Informatica, Talend, dbt, Airflow, ADF)\nCloud data platforms (e.g., Snowflake, Databricks, AWS Redshift, Azure Synapse, GCP BigQuery)\nSQL and at least one programming language (Python, Scala, Java)\nData Governance, Data Management Services, Data modeling, Warehousing, and Integration Concepts\nDemonstrated experience owning both delivery/development and production support functions.\nStrong experience with ITIL-based support models, incident/problem management, and SLA governance.\nExcellent stakeholder management skills ‚comfortable engaging with senior business and technology leadership.\nExperience with Agile/Scrum and DevOps/DataOps delivery practices.\nStrong people leadership experience ‚managing, mentoring, and growing technical teams (typically 20 - 1000+ FTEs, including onshore/offshore models).\n\nPreferred Qualifications\n\nExperience in managed services / global delivery / shared services environment.\nExposure to data governance, data quality, and metadata management frameworks\nRelevant certifications (PMP, SAFe, ITIL, cloud platform certifications).\nExperience with FinOps/cost optimization for cloud data platforms.\nPrior experience in [Insert relevant industry, e.g., Banking, Healthcare, Retail].\n\nKey Attributes\n\nTechnical credibility ‚can go deep enough to challenge architecture and troubleshoot with the team, not just manage from a distance.\nExecution-focused ‚track record of delivering large programs on time, on budget, and at quality.\nBalances build and run ‚equally comfortable driving new development and stabilizing/operating live systems.\nStrong communicator ‚able to translate technical complexity into business impact for senior stakeholders.\nCalm under pressure ‚experienced in managing production incidents and escalations without losing sight of long-term delivery goals.\nOther Requirements\nStrong technical background in data engineering ‚hands-on or recent hands-on experience with:\nData pipelines/ETL-ELT tools (e.g., Informatica, Talend, dbt, Airflow, ADF)\nCloud data platforms (e.g., Snowflake, Databricks, AWS Redshift, Azure Synapse, GCP BigQuery)\nSQL and at least one programming language (Python, Scala, Java)\nData Governance, Data Management Services, Data modeling, Warehousing, and Integration Concepts.\nMaximum Salary (US): 263000\nMinimum Salary (US): 155000\n#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-","datePosted":"2026-08-04T23:26:55.156Z","dateModified":"2026-08-04T23:26:55.156Z","hiringOrganization":{"@type":"Organization","name":"HCLTech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dbccd06e3f710a1f6b3b6464"},"url":"https://jobsearcher.com/jobs/dbccd06e3f710a1f6b3b6464"}}