This role involves leading the design and delivery of data infrastructure that powers intelligent systems across major industries like Financial Services and Manufacturing
Job Summary
This role involves leading the design and delivery of data infrastructure that powers intelligent systems across major industries like Financial Services and Manufacturing.
Managers are expected to mentor junior staff, foster a culture of continuous learning, and own the full data lifecycle from source integration to analytics-ready delivery.
The position offers significant variety by working on diverse projects such as lakehouse implementations, real-time streaming architectures, and data mesh strategies for Fortune 500 clients.
Matching Summary
This role involves leading the design and delivery of data infrastructure that powers intelligent systems across major industries like Financial Services and Manufacturing.
Skills & Requirements
Must-have
5+ years production data pipeline experience
Strong SQL and Python programming skills
Experience with dbt for data transformation
Lakehouse architecture on Snowflake or Databricks
Workflow orchestration with Airflow or Data Factory
Leading and mentoring technical teams
Nice-to-have
Experience in Financial Services or Manufacturing
Knowledge of real-time streaming architectures
Familiarity with MCP and A2A standards
Contributions to open-source projects
Cloud certifications in Snowflake or Azure
Master's degree in a technical field
Key Requirements
Bachelor's degree in Computer Science or related field
5+ years hands-on experience building production data pipelines
Proven ability to lead and develop technical teams
Deep expertise in PySpark for distributed processing
Experience building data pipelines serving AI/ML systems