Databricks Architect (hybrid) - Dallas, TX
About The Position
The Data Architect is the most senior technical voice on an engagement and owns the target-state architecture for enterprise Lakehouse platforms across industries. The role works directly with customers and often with Databricks field teams, defining how data moves, where it lands, how it is governed, and what it costs to operate. Work often begins with legacy environments such as Teradata, Informatica, Hadoop, or cloud sprawl. The architect designs the path to a Databricks Lakehouse and stays closely involved in implementation to help ensure the design is carried through. The position also contributes to engagement scoping and estimation, mentors senior engineers, and develops reference architectures and internal accelerators. V4C provides technical hires with an individualized certification roadmap and in-house instruction from Databricks-approved trainers, as well as a dedicated Employee Success Manager. The role is hybrid in Dallas, Texas, with work from home three days per week.
Requirements
- At least 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, such as 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 judgment about when each applies.
- Experience with CI/CD and DevOps practices for data platform deployment.
Nice To Haves
- Databricks Certified Data Engineer Professional certification or Platform Architect credentials.
- Hands-on Databricks experience at scale, including Unity Catalog, Delta Lake, Lakeflow, and 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.
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, including catalogs, schemas, access patterns, lineage, and audit posture.
- Make and document platform trade-offs, such as compute sizing, storage format, streaming versus batch, and build versus buy, with cost and performance reasoning suitable for customer decision-makers.
- 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 to help make future engagements faster.
Benefits
- Health care plan covering medical, dental, and vision.
- Retirement plan (401k or IRA).
- Life insurance (basic, voluntary, and AD&D).
- Paid time off, including vacation, sick time, and public holidays.
- Family leave, including maternity and paternity leave.
- Short-term and long-term disability coverage.
- Training and development.
- Work from home three days per week.
- Individualized certification roadmap and in-house instruction from Databricks-approved trainers.
- Dedicated Employee Success Manager.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
