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# Associate Director, Lead Data Architect - Databricks

- **Company:** Guidehouse Inc.
- **Location:** McLean, 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, Information Technology, Databricks
- **Published:** September 22, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9181828/associate-director-lead-data-architect-databricks

## About the Role

* 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.


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