Databricks Architect (Remote, US)

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

About V4C.ai

V4C is a pure-play Databricks partner, and in under two years we have earned 850+ Databricks certifications across 325+ customers and been named Databricks' 2026 Partner of the Year (C&SI Emerging).

As a Data Architect, you’ll own the target-state architecture for enterprise Lakehouse platforms across industries, working directly with customers and often Databricks' own field teams. Every technical hire here gets a certification roadmap built for them and taught in-house by Databricks-approved trainers, plus a dedicated Employee Success Manager whose only responsibility is your experience at V4C

The Role

The Data Architect is the most senior technical voice on an engagement. You own the target-state architecture — how data moves, where it lands, how it’s governed, what it costs to run — and defend those decisions to customer architects and executives. Most of your work starts where a legacy estate is the constraint: Teradata, Informatica, Hadoop, or cloud sprawl nobody wants to own. You design the path to a Databricks Lakehouse, then stay close enough to the build that the design survives it.

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

• 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

Preferences

• Healthcare or life sciences experience preferred but not required


• Databricks Certified Data Engineer Professional or a Platform Architect


• Hands-on Databricks experience at scale: Unity Catalog, Delta Lake, Lakeflow, Asset Bundles


• Experience with MLOps or productionizing machine learning workloads


• Prior professional services, consulting, or customer-facing architecture background


• Experience contributing to pre-sales scoping or technical proposals

• Unlimited PTO


• Health Care Plan (Medical, Dental & Vision)


• Retirement Plan (401k, IRA)


• Life Insurance (Basic, Voluntary & AD&D)


• Family Leave (Maternity, Paternity)


• Short Term & Long Term Disability


• Training & Development


• Remote/WFH