Databricks Architect (hybrid) - Dallas, TX

V4C.ai; Texas; Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health care plan

Retirement plan

Life insurance

Paid time off

Family leave

Disability (short/long-term)

Training & development

Remote work 3 days per week

Job summary

V4C.ai is seeking a Senior Data Architect to own target-state Lakehouse architecture for enterprise engagements, guiding data movement, governance, and cost considerations. You’ll influence decisions and ensure designs survive deployment by staying engaged with implementation teams.

You will lead assessments, set data modeling standards, and define governance models while mentoring engineers and producing scalable reference architectures for the practice.

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.
• Deep experience migrating legacy data warehouses or ETL estates to a modern cloud platform.
• 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.
• 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

End-to-end architecture

Legacy data migration

Python

SQL

Apache Spark

Data modeling

CI/CD

DevOps

Databricks

Tools

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

• Databricks Certified Data Engineer Professional or a Platform Architect credentials are a plus
• 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

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development
• Work from Home 3 days per week