Manager, Data Engineer
Core
Design, implement, and optimize scalable data models, architectures, and ETL/ELT processes on cloud platforms (Databricks, Snowflake) to support analytics and business intelligence.
Role type
Manager, Data Engineer
Builds
Cloud data platforms (Databricks, Snowflake), data pipelines, automated reporting workflows, and data governance controls.
Domain
Financial Services / Investment Management
Deliverable
production ML models
Required skills
Data modeling, ETL/ELT, SQL, Python, Cloud data platforms (Databricks, Snowflake), Data orchestration, RESTful APIs, CI/CD (Azure DevOps), Data governance, Risk assessment, Technical leadership.
Preferred skills
Snowflake/Databricks certification, Investment management domain knowledge, Streamlit/Databricks Apps, Databricks Genie.
Technologies
Databricks, Snowflake, Workato, Azure DevOps, Streamlit, Python, SQL.
Responsibilities
Design and implement scalable data models and architectures; Design and implement ETL/ELT processes; Migrate existing data infrastructure; Provide technical guidance to junior engineers; Collaborate with stakeholders to formulate data-driven solutions.
Seniority
Manager, hands-on IC with team leadership