Databricks Lakehouse Architect - Lead Data Governance

Creative Solutions Services, LLC; Atlanta (GA); Hybrid; USD 96,000 - 110,000; Full time

Job summary

NTT DATA seeks an experienced data-architecture leader to drive enterprise Databricks lakehouse architecture and governance across ingestion, transformation, and consumption layers.

You will own security, data-quality, lineage, and compliance controls, partnering with security, governance, and data teams to modernize legacy platforms and enable secure data sharing for analytics and AI/ML workloads.

Qualifications

• Minimum 10 years of experience in Data Architecture, Data Engineering, or enterprise data-platform delivery, including architecture leadership for large-scale data ecosystems.
• Minimum 5 years of strong hands-on experience with Databricks and modern lakehouse architecture, including production-scale implementation and optimization.
• Deep expertise in Medallion Architecture (Bronze, Silver, Gold), Delta Lake, distributed data processing, Spark/PySpark, SQL, batch processing, and streaming architecture.

Responsibilities

• Lead enterprise Databricks Lakehouse architecture using Medallion Architecture, establishing scalable, reusable, secure, and governed platform patterns.
• Define target-state Databricks architecture across ingestion, transformation, storage, orchestration, analytics, streaming, data sharing, and consumption layers.
• Own enterprise data-governance architecture on Databricks with Unity Catalog for centralized cataloging, access control, data discovery, lineage, ownership, and governed data sharing.

Skills

Databricks

Lakehouse architecture

Unity Catalog

Data governance

Security controls

Cloud platforms

Stakeholder management

Architecture leadership

Education

Bachelor's degree in CS/Info Systems/Data Eng

Tools

Unity Catalog

Delta Lake

Spark/PySpark

Job description

NTT DATA seeks an experienced data-architecture leader to drive enterprise Databricks lakehouse architecture and governance across ingestion, transformation, and consumption layers.

You will own security, data-quality, lineage, and compliance controls, partnering with security, governance, and data teams to modernize legacy platforms and enable secure data sharing for analytics and AI/ML workloads.