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# Databricks Architect (hybrid) - Dallas, TX

- **Company:** V4C, LLC
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $170,000 - $220,000
- **Contract:** Permanent contract
- **Skills:** Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, DevOps, Distributed Computing Environment, Apache Hadoop, Python (Programming Language), Machine Learning, SQL Databases, Teradata SQL, Informatica Powercenter, Netezza, Apache Spark, Data Lakes, Data Management, Machine Learning Operations, Databricks
- **Published:** November 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5ab058ea6e6774cb

## About the Role

* 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

## Description

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., * 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