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Databricks Architect - Lakehouse Modernization

AnblicksDallas, TX🇺🇸United StatesPosted 13 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Description: Databricks Architect - Lakehouse Modernization

Location: Dallas, TX

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:

- 13+ 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

AWS
Databricks
Reconciliation
SAFe
Unity
dbt

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