Job Description – Data Architect

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)