Data Architect

Ness Digital Engineering • Chicago, IL

2d

About The Position

Responsible for defining enterprise data architecture on AWS and Databricks Lakehouse platforms, enabling scalable data lakes, lakehouse solutions, and enterprise analytics for financial services organizations.

Requirements

• Strong SQL, Python, and PySpark expertise
• Hands-on experience with Databricks Lakehouse and Delta Lake
• Experience designing enterprise data lakes on AWS (S3, IAM)
• Knowledge of dimensional modeling and enterprise data warehouse design
• Experience with distributed query engines such as Trino
• 12–16 years in Data & Analytics architecture, preferably in Financial Services or Capital Markets.

Nice To Haves

• Databricks Certified Data Engineer or Architect
• AWS Solution Architect

Responsibilities

• Define enterprise data architecture for Data Lake and Lakehouse platforms
• Design scalable architectures on AWS and Databricks
• Define Medallion architecture (Bronze, Silver, Gold) standards
• Establish data governance, security, and architecture standards
• Guide engineering teams on scalable data platform implementation
• Collaborate with business and analytics teams to translate data requirements

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees