Databricks Architect

Capgemini; Princeton (NJ); On-site; USD 48,000 - 75,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Retirement plan

Job summary

Tundra Technical Solutions is seeking a hands-on architect to design governed, conversational self-service on Databricks and to own end-to-end architecture from data sources to business-facing answers.

You will build a federated hub with shared definitions, publish local metrics to the central model, and define governance for changes, versioning, and lineage while leading a small team of engineers.

Qualifications

• 10–12 years in data engineering and data architecture.
• Hands-on architect with at least 3 years delivering on a team.
• Production Databricks experience: Unity Catalog, Delta Lake, Lakehouse Federation, Delta Sharing.
• Strong SQL and Python, plus Git and CI/CD for data assets.

Responsibilities

• Own end-to-end architecture for governed, conversational self-service on Databricks.
• Design federated central hub with data context per business unit.
• Define semantic and context layer, ontology, keys, rules, lineage.
• Publish local definitions to central hub without copying data.
• Explain designs to leaders and guide a small engineering team.
• Build Unity Catalog metric views, ABAC policies, and SQL functions.

Skills

SQL

Python

PySpark

Databricks

Git CI/CD

Data governance

ABAC policies

Delta Lake

Lakehouse Federation

Tools

Unity Catalog

Delta Sharing

Genie

Genie Spaces

Job description

A hands-on architect with 10 to 12 years of experience who designs and builds governed, conversational self-service on Databricks: Genie, Unity Catalog metric views, a semantic and context layer, and multi-agent orchestration.

What is expected as architect:

Own the end-to-end architecture for governed, conversational self-service on Databricks, from data sources to the answer a business user sees.

Design a federated architecture: a central hub with shared definitions, and business units or entities that keep their own data and context.

Define the semantic and context layer: ontology and common keys, governed metric views, business rules, entitlements, certification status and lineage, and knowledge sources.

Design how local definitions and metric views are published to the central hub, mapped to the common model and reused, without copying data.

Set the governance model for metric changes and certification: ownership, versioning, impact analysis, approval and effective dating.

Explain design choices to business and technology leaders in plain terms, and guide a small team of engineers.

What is expected hands-on:

Build Unity Catalog metric views, SQL functions for business rules, and ABAC policies with row filters and column masks.

Configure Genie spaces, Genie Agents and Genie One: instructions, example SQL, trusted assets and benchmark questions.

Ability to build agents with Agent Bricks that routes questions to the right agent

Set up Lakehouse Federation, Delta Sharing and clean rooms where data must stay in place.

Keep metric views and agent configuration in Git with CI/CD (Databricks Asset Bundles), and measure answer accuracy with MLflow tracing and evaluation.

Key skills and experience:

Area-

High level expectations

Experience-

10 to 12 years in data engineering and data architecture, with at least 3 years as a hands-on architect on a delivery team

Databricks-

At least 3 years in production: Unity Catalog (governance, lineage, ABAC), Delta Lake, Databricks SQL, Lakehouse Federation, Delta Sharing

Semantic layer-

Built a governed semantic or metrics layer (Databricks metric views, dbt metrics,) used by more than one team

Conversational and agentic AI-

Delivered at least one Genie, text-to-SQL or LLM agent solution beyond a demo, including evaluation of answer accuracy

Strong SQL and Python; PySpark; Git and CI/CD for data assets

Conformed dimensions, common keys across sources, reconciliation of figures to a system of record

Governance-

Access control, lineage, data sharing and versioning of definitions in a multi-team or multi-entity setup

Communication-

Explains design choices to business and technology leaders in plain terms; runs workshops; writes clearly

The pay range that the employer in good faith reasonably expects to pay for this position is $34.67/hour - $54.18/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.