Senior Databricks Lakehouse Architect - Remote

V4C.ai; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Unlimited PTO

Health Care Plan (Medical, Dental &amp

Retirement Plan (401k, IRA)

Life Insurance (Basic, Voluntary &

Family Leave (Maternity, Paternity)

Short Term & Long Term Disability

Training & Development

Remote/WFH

Job summary

V4C.ai is seeking a Data Architect to own target-state Lakehouse architectures for enterprise engagements. You will define data governance, model standards, and platform trade-offs, guiding teams from design through production.

You will lead migrations from legacy estates to Databricks Lakehouse, while mentoring engineers and delivering reference architectures that accelerate future engagements.

Qualifications

• 8+ years in data engineering/architecture or analytics platform development.
• Demonstrated ownership of end-to-end architecture for at least two enterprise-scale data platforms, from design through production.
• Deep experience migrating legacy data warehouses or ETL estates to a modern cloud platform (Teradata, Informatica, Hadoop, Netezza, or equivalent).
• Strong proficiency in Python and SQL; working knowledge of Apache Spark and distributed processing fundamentals.
• Experience with data modeling across dimensional, normalized, and Lakehouse patterns, and the judgment to know when each applies.
• Experience with CI/CD and DevOps practices for data platform deployment.

Responsibilities

• Own the target-state Lakehouse architecture on enterprise engagements, including ingestion, storage, transformation, serving, and governance layers
• Lead architecture assessments of legacy estates and produce migration paths with sequencing, risk, and effort
• Define data modeling standards and Medallion layer conventions, and hold engineering teams to them across concurrent workstreams
• Set the Unity Catalog governance model: catalogs, schemas, access patterns, lineage, and audit posture
• Make and document platform trade-offs (compute sizing, storage format, streaming versus batch, build versus buy) with cost and performance reasoning a customer can take to their CFO
• Provide technical input into scoping and effort estimation on new engagements, including pre-sales discovery and proof-of-concept design
• Mentor senior engineers, review designs, and raise the architectural bar across the practice
• Produce reference architectures, diagrams, and internal accelerators that make the next engagement faster

Skills

Data engineering

Data architecture

Analytics platform development

Python

SQL

Apache Spark

CI/CD

DevOps

MLOps

Education

Tools

Unity Catalog

Delta Lake

Lakeflow

Asset Bundles

Databricks

Job description

V4C.ai is seeking a Data Architect to own target-state Lakehouse architectures for enterprise engagements. You will define data governance, model standards, and platform trade-offs, guiding teams from design through production.

You will lead migrations from legacy estates to Databricks Lakehouse, while mentoring engineers and delivering reference architectures that accelerate future engagements.