About this role

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
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

12–16 years in Data & Analytics architecture, preferably in Financial Services or Capital Markets.
Strong SQL
Python
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
Certifications (Preferred) Databricks Certified Data Engineer or Architect, AWS Solution Architect (Preferred)

Data Architect

Key skills