The Role
Designs enterprise Databricks lakehouse architectures and Delta data models for legacy-platform modernization. Defines migration, validation, reconciliation, parallel-run, and cutover strategies while establishing governance, orchestration, and performance standards. Leads client architecture reviews, guides build teams hands-on, applies AI-assisted conversion approaches, and tunes Spark workloads for scale and cost. The role requires extensive data engineering and architecture experience, including enterprise Databricks implementations and multi-cloud modernization programs.
Summary Generated by Built In
Job Description: Databricks Architect - Lakehouse Modernization | Onsite, US | 12+ years
Anblicks is seeking a Databricks Architect to drive design, data modeling, and solution strategy for migrations from legacy data platforms to the Databricks lakehouse. The role sets Delta architecture standards and cutover-safe migration patterns across multiple concurrent client builds.
Key Responsibilities
- Design target-state lakehouse architectures: Delta patterns, medallion layering, workflow orchestration, governance, and performance engineering.
- Drive data modeling on Delta for complex enterprise domains; align shared frameworks (transformation, validation, lineage) to Databricks equivalents.
- Define migration plans, load strategies, validation and reconciliation approaches, and cutover designs for lakehouse targets.
- Lead design reviews with client architecture teams and guide build teams hands-on.
- Apply AI-assisted and accelerator-driven conversion approaches; tune Spark workloads for scale and cost.
Qualifications
- 12+ years in data engineering/architecture; 4+ years architecting Databricks/lakehouse solutions at enterprise scale.
- Hands-on experience across data platform modernization programs (legacy to modern cloud platforms), including AI-enabled and accelerator-driven delivery, migration planning, data validation and reconciliation strategies, parallel runs, and cutover execution.
- Strong Delta data modeling and Spark performance engineering; Unity Catalog governance preferred.
- dbt on Databricks and multi-cloud (AWS primary) experience a plus.
- MarTech or customer data exposure a plus.
- Ability to both drive design and execute.
Skills Required
- 12+ years of experience in data engineering or data architecture
- 4+ years architecting Databricks or lakehouse solutions at enterprise scale
- Experience with data platform modernization from legacy platforms to modern cloud platforms
- Experience with AI-enabled and accelerator-driven delivery
- Experience with migration planning, data validation, and reconciliation strategies
- Experience with parallel runs and cutover execution
- Strong Delta data modeling skills
- Strong Spark performance engineering skills
- Ability to lead solution design and execute hands-on
- Unity Catalog governance experience
- dbt on Databricks experience
- Multi-cloud experience, particularly AWS
- MarTech or customer data experience
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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
