Description

You will design and implement scalable data architectures for capital markets environments.

This role is hybrid.

Responsibilities

• Architect data warehouses and lakehouses using Azure Databricks and Azure Data Services.
• Build robust ETL/ELT pipelines using Python, Scala, and Spark.
• Define data models and ensure strict data governance and lineage compliance.
• Optimize SQL queries and data processing workflows for financial services workloads.

Required Skills

• 14+ years of experience in data engineering or architecture.
• Strong proficiency in Python, Scala, Java, or C#.
• Deep expertise in Azure ecosystem, specifically Databricks and Azure Data Services.
• Advanced SQL and data modeling skills.
• Experience with Spark and building large-scale ETL/ELT pipelines.
• Domain knowledge in Capital Markets or Financial Services.

Preferred Skills

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3+ years of tenure in previous roles demonstrating stability.

Key Skills

Education

Bachelor's degree