Lead Data Architect - Databricks Lakehouse Expert

Jobtome

San Antonio (TX)

On-site

USD 149,000 - 248,000

Full time

11 days ago

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Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

Personal and Family Sick Time &Company

Discretionary incentive bonus

Parental Leave and Adoption Assistance

401(k) Retirement Plan

Basic Life & Supplemental Life

Health Savings Account, D/V & Dep Care

Short-Term & Long-Term Disability

Student Loan PayDown

Tuition Reimbursement & Learning Oppt.

Skills Development & Certifications

Employee Referral Program

Corporate Sponsored Events & Community

Emergency Back-Up Childcare Program

Mobility Stipend

Job summary

Guidehouse is seeking a seasoned Data Architect to support the Data Workstream Lead. You will shape secure Databricks lakehouse architectures, define data-modeling standards, and lead DataOps across data pipelines and integrations.

Requirements include a Bachelor’s degree and 8+ years in enterprise data architecture, experience with Databricks lakehouse and Unity Catalog, and the ability to obtain a Public Trust clearance. Travel up to 25% is expected.

Qualifications

Must be able to obtain and maintain a Federal or DHS Public Trust.
Bachelor's degree in computer science, data engineering, information systems, or related field.
8+ years in enterprise data architecture, data engineering, cloud platforms, or analytics modernization.
Experience with Databricks lakehouse solutions and Unity Catalog security.
Knowledge of dimensional, relational, canonical, and data-product modeling.
Experience with ingestion, API, orchestration, metadata, lineage, data contracts, and DataOps.
Experience designing migration architectures and source-to-target mapping.

Responsibilities

Serve as deputy to the Data Workstream Lead and guide day-to-day architecture decisions.
Define secure Databricks lakehouse architecture, environments, and Unity Catalog structure.
Define canonical HR data models, data-product standards, and reusable data products.
Establish DataOps, ingestion, transformation, orchestration, APIs, and consumption patterns.
Develop migration architecture, metadata/ lineage approach, and data-contract framework.
Define architecture standards for security, privacy, quality, observability, and performance.
Review models, mappings, pipelines, and data products for conformance with target architecture.
Facilitate architecture tradeoffs to technical teams and leadership; mentor architects and engineers.