Job Title: Data Architect 
Location : Chicago, IL (Hybrid)
Duration:12+ months 

Role Summary: 

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. 

Key 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 

Technical / Functional Skills: 

• 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 

Experience: 

12–16 years in Data & Analytics architecture, preferably in Financial Services or Capital Markets. 

Certifications (Preferred) 

Databricks Certified Data Engineer or Architect, AWS Solution Architect (Preferred)