Azure Data Architect

Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company’s future with cloud and data. For more information, visit www.ness.com

Position Summary

We are seeking a highly skilled Data Architect with deep expertise in Azure, Databricks, SQL, and Data Modeling. The ideal candidate will have extensive experience in both traditional data warehouse architectures and modern data platform paradigms (Data Lake, Lakehouse, and Azure Synapse). This role requires a proven track record in designing and implementing enterprise-scale data solutions, integrating multiple data sources, and enabling analytics at scale.

Key Responsibilities

• Lead the architecture, design, and implementation of enterprise data warehouses, data lakes, and Lakehouse's on Azure and Databricks.
• Define and enforce data modeling standards, best practices, and guidelines across transactional and analytical workloads.
• Architect end-to-end modern data platforms leveraging Azure Synapse, Databricks, Delta Lake, and related Azure services (ADF, ADLS, Purview, etc.).

Solution Delivery

Required Skills & Experience

Core Expertise

Complementary Skills

Soft Skills

Qualifications

Ness is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law

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