About the role
Responsibilities:
- Manages the design, implementation, and maintenance of data pipelines and architecture for operational and analytical use cases.
- Leads and mentors a team of data engineers, providing technical guidance, career development, and performance feedback.
- Collaborates with cross-functional teams to gather requirements and ensure high-quality data delivery for business and product needs.
- Oversees data modeling, ETL development, data integration, and pipeline automation across multiple platforms.
- Establishes best practices for data quality, governance, and compliance in line with industry standards.
- Continuously evaluates new technologies and tools to improve scalability, performance, and data reliability.
- Partners with analytics, product, and engineering teams to support strategic initiatives and long-term data strategy.
Requirements:
- 8+ years of experience in data engineering, data infrastructure, or software development.
- 3+ years of experience managing data or engineering teams.
- Bachelor's or master's degree in computer science, data engineering, or a related technical field.
- Expertise in SQL, data modeling, and pipeline orchestration tools (e. g., Airflow, dbt, or similar).
- Experience with cloud data platforms (e. g., Snowflake, BigQuery, Redshift, or AWS Glue).
- Strong leadership, communication, and stakeholder management skills.