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V4C.ai

Databricks Architect (Remote, US)

Remote, United States

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Job details

Posting language: English
Posted: Nov 13, 2026

Original 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

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

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Jobs in the United States