As a Data Engineer Tech Lead, you will play a central role in shaping our data strategy and guiding the team in building and optimizing analytics data pipelines that power business decisions across the organization. Beyond driving complex data initiatives, youll be a hands-on mentor and technical advisor, supporting other data engineers, fostering a culture of collaboration, and ensuring the teams overall growth and success.
Key Responsibilities:
Lead and mentor a team of data engineers, providing technical guidance, support, and regular feedback to enable their growth.
Architect, design, and evolve robust, scalable data pipelines and ETL/ELT processes for diverse structured and unstructured data sources.
Serve as a technical advisor for data best practices across the organization, collaborating with data analysts, data scientists, engineers, and product managers.
Define and evolve analytics-focused data models that empower business stakeholders with timely and reliable data.
Drive initiatives to improve data quality, governance, and observability across the analytics stack.
Act as a bridge between technical and non-technical stakeholders, helping translate business needs into actionable data solutions.
Champion engineering excellence, including code reviews, documentation, and knowledge-sharing.
What your day might look like:
Leading the most complicated data projects our company has to offer Hands on
Supporting other engineers by reviewing code, troubleshooting architecture, and encouraging best practices.
Leading the technical direction of new pipelines or data modeling initiatives.
Meeting with product managers and analysts to align on priorities and define the right data solutions.
Guiding your team through design discussions, trade-offs, and implementation decisions.
Helping the team deliver with high reliability, scalability, and speed.
Driving initiatives that improve the maintainability, observability, and impact of the data platform.
Key Responsibilities:
Lead and mentor a team of data engineers, providing technical guidance, support, and regular feedback to enable their growth.
Architect, design, and evolve robust, scalable data pipelines and ETL/ELT processes for diverse structured and unstructured data sources.
Serve as a technical advisor for data best practices across the organization, collaborating with data analysts, data scientists, engineers, and product managers.
Define and evolve analytics-focused data models that empower business stakeholders with timely and reliable data.
Drive initiatives to improve data quality, governance, and observability across the analytics stack.
Act as a bridge between technical and non-technical stakeholders, helping translate business needs into actionable data solutions.
Champion engineering excellence, including code reviews, documentation, and knowledge-sharing.
What your day might look like:
Leading the most complicated data projects our company has to offer Hands on
Supporting other engineers by reviewing code, troubleshooting architecture, and encouraging best practices.
Leading the technical direction of new pipelines or data modeling initiatives.
Meeting with product managers and analysts to align on priorities and define the right data solutions.
Guiding your team through design discussions, trade-offs, and implementation decisions.
Helping the team deliver with high reliability, scalability, and speed.
Driving initiatives that improve the maintainability, observability, and impact of the data platform.
Requirements:
7+ years of experience in data engineering or related roles, with a proven track record of technical leadership and team support.
Expertise in SQL and advanced proficiency in Python for data workflows.
Extensive experience designing and implementing scalable, analytics-ready data models and cloud data warehouses.
Hands-on expertise with data orchestration and transformation frameworks (e.g., Airflow, Luigi, AWS Glue, DBT).
Strong familiarity with cloud data services (e.g., AWS, GCP, Azure).
Demonstrated ability to lead and support teams, communicate effectively, and foster collaboration across functions.
Bonus Points:
Experience mentoring or managing engineers in a fast-paced environment.
Strong understanding of business metrics and how to translate data into strategic insights.
Familiarity with data governance and observability best practices.
Passion for building data culture and driving adoption of data tools across the company.
7+ years of experience in data engineering or related roles, with a proven track record of technical leadership and team support.
Expertise in SQL and advanced proficiency in Python for data workflows.
Extensive experience designing and implementing scalable, analytics-ready data models and cloud data warehouses.
Hands-on expertise with data orchestration and transformation frameworks (e.g., Airflow, Luigi, AWS Glue, DBT).
Strong familiarity with cloud data services (e.g., AWS, GCP, Azure).
Demonstrated ability to lead and support teams, communicate effectively, and foster collaboration across functions.
Bonus Points:
Experience mentoring or managing engineers in a fast-paced environment.
Strong understanding of business metrics and how to translate data into strategic insights.
Familiarity with data governance and observability best practices.
Passion for building data culture and driving adoption of data tools across the company.
This position is open to all candidates.
