# Databricks Architect (Remote, US)

**Company:** [V4C.ai](https://jobs.workable.com/companies/kb5Wja5n4RGDc2pq5FujAz.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Delivery

[Apply for this job](https://jobs.workable.com/view/7fc0a665-bfeb-400c-965f-42a437fd81a5)

## 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

## Requirements

-   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

## Benefits

-   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
-   Work from Home 3 days per week