> Markdown version of [/jobs/ext/4379976-associate-director-lead-data-architect-databricks](https://www.wearedevelopers.com/jobs/ext/4379976-associate-director-lead-data-architect-databricks). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Director, Lead Data Architect - Databricks - **Company:** Guidehouse Inc. - **Location:** Tysons, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Computing, Information Systems, Data Architecture, Information Engineering, Data Mapping, Metadata, DataOps, Model Validation, Information Technology, Databricks - **Published:** October 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/associate-director-lead-data-architect-databricks-tysons-corner-va--e0364f35-aab8-4995-b9b0-a0ff24d936ea ## About the Role DataArchitect Data Modeling Tool, Data Science, Consulting, Willing to Travel, Data Modeling, Metadata, Model Review, Leadership, Mentoring, Quality Assurance, * Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred * Bachelor's degree in computer science, data engineering, information systems, engineering, or a related field. * EIGHT (8) or more years of experience in enterprise data architecture, data engineering, cloud platforms, or analytics modernization. * Experience architecting Databricks lakehouse solutions and Unity Catalog security and governance structures. * Strong knowledge of dimensional, relational, canonical, and data-product modeling patterns. * Experience with ingestion, API, integration, orchestration, metadata, lineage, data contracts, quality, and DataOps patterns. * Experience designing migration architectures and guiding source-to-target mapping and conversion decisions. What Would Be Nice To Have: * Databricks Data Engineer Professional, Databricks Architect, or equivalent certification. * Ability to lead technical teams and communicate architecture decisions to executive and non-technical audiences. * Experience with HR, workforce, ERP, or financial data models. * Experience with Azure, AWS, or cloud networking and security patterns. * Experience supporting public-sector data modernization. ## Description * Serve as deputy to the Data Workstream Lead and lead day-to-day technical architecture decisions. * Define the secure Databricks lakehouse architecture, environments, workspaces, storage patterns, identity and access considerations, and Unity Catalog structure. * Define canonical HR data models, domain boundaries, curated layers, semantic approaches, and reusable data-product standards. * Establish DataOps, ingestion, transformation, orchestration, integration, API, and other consumption patterns. * Develop the migration architecture, source-to-target design standards, metadata and lineage approach, and data-contract framework. * Define architecture standards for security, privacy, quality, observability, performance, testing, deployment, and supportability. * Review detailed models, mappings, pipelines, interfaces, and data products for conformance with the target architecture. * Facilitate architecture decisions and communicate tradeoffs to technical teams, business stakeholders, and leadership. * Mentor architects and engineers and provide technical quality assurance across Prepare, Stabilize, and Operationalize.