Databricks Architect - Lakehouse Modernization

Anblicks; Dallas (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Anblicks seeks a Databricks Architect to lead design, data modeling, and migration strategy for lakehouse modernization across client projects. The role defines Delta architecture standards and cutover-safe patterns while guiding build teams through hands-on execution.

Responsibilities include architecting target-state lakehouse patterns, performance tuning, governance, and enabling AI-assisted conversion approaches to accelerate modernization across multi-cloud environments, primarily AWS.

Qualifications

• 12+ years in data engineering/architecture.
• 4+ years architecting Databricks/lakehouse solutions at enterprise scale.
• Experience with data modernization, migration planning, validation strategies, parallel runs, and cutover.

Responsibilities

• Design target-state lakehouse architectures with Delta patterns and governance.
• Drive data modeling on Delta for complex domains and align workflows to Databricks equivalents.
• Define migration plans, load strategies, validation/reconciliation approaches, and cutover designs.

Skills

Databricks lakehouse

Delta data modeling

Spark performance engineering

Data governance

Migration planning

Multi-cloud AWS

Tools

dbt on Databricks

Job description

Job Description: Databricks Architect - Lakehouse Modernization

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.