Databricks Architect - Lakehouse Modernization

Anblicks Inc.; Dallas, Northern (TX, KY); On-site; USD 170,000 - 210,000; Full time

Job summary

Anblicks Inc. is seeking a Databricks Architect to lead lakehouse modernization initiatives in a US onsite setting. You will design target-state lakehouse architectures, govern Delta-based data models, and define migration plans across complex enterprise environments.

You will collaborate with client architecture teams, guide build squads, and apply AI-assisted acceleration to optimize Spark workloads for scale and cost in multi-cloud deployments.

Qualifications

• 12+ years in data engineering/architecture.
• 4+ years architecting Databricks/lakehouse solutions at enterprise scale.
• Experience in data platform modernization including AI-enabled delivery.
• Strong Delta data modeling and Spark performance engineering; Unity Catalog governance preferred.
• dbt on Databricks and multi-cloud experience a plus.

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 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.

Skills

Databricks Architecture

Data Modeling

Spark performance engineering

Migration planning

Governance

AI-assisted delivery

Tools

dbt on Databricks

Spark

Unity Catalog

Delta Lake

Job description

Databricks Architect - Lakehouse Modernization

12+ Years

Full-Time

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.