Technical lead - Data Engineer
Summary
Technical Lead for Data Engineers building and maintaining data pipelines using DBT Core and Amazon Redshift, with Airflow orchestration. Responsible for technical direction, code quality, and problem-solving across the data engineering pod.
Job Description
We are seeking an experienced Technical Lead to guide a team of Data Engineers building and maintaining data pipelines on DBT Core and Amazon Redshift, with Airflow orchestration as a plus. This role sits between individual contributors and Solution Managers, responsible for technical direction, code quality, and hands-on problem-solving across the data engineering pod. The Technical Lead will need strong SQL and data modeling depth to guide design decisions, review work, and unblock the team — while also being comfortable engaging with business stakeholders given the visibility of this work
Roles & Responsibilities
Roles and Responsibilities
- Provide technical direction and hands-on guidance to a team of Data Engineers working on DBT models and Redshift pipelines
- Review DBT model design, SQL logic, and data transformations for correctness, performance, and maintainability
- Own data modeling decisions — dimensional modeling, schema design, and layering (staging/intermediate/marts)
- Troubleshoot complex pipeline, query performance, and data quality issues escalated by the team
- Coordinate with Solution Managers on delivery planning, task breakdown, and technical risk visibility
- Guide adoption of Airflow orchestration practices where applicable
- Mentor Data Engineers on SQL, data modeling, and DBT best practices
- Represent the technical team in front of business stakeholders and partners as needed
- Ensure consistency and standards across the data engineering pod's deliverables
Mandatory Skills
Data Build Tool (Dbt), Snowflake / Redshift, Lead Data Engineer, AWS, Advanced SQL Queries, ETL, Data Modeling, Dimensional Modeling, Python
Desirable Skills
Airflow, AWS Glue, Astronomer cosmos