About this role

Architect, implement, and maintain scalable data pipelines across core systems.
Build and manage analytics infrastructure using both open-source and commercial tools.
Ensure data quality and schema discipline for operational reliability.
Deliver clean, consistent models and dashboards utilized by multiple teams.
Collaborate with stakeholders to support analytics, business intelligence, and decision-making initiatives.

5+ years hands-on data engineering experience; big plus if you’ve been the first data hire before.
Strong SQL plus real programming ability (Python preferred).
Production experience with data tooling (Airflow, dbt, Fivetran).
Experience integrating APIs and working with warehouses/lakes such as Redshift, ClickHouse, or similar.
Experience with analytics/BI tools (Metabase, Looker, Tableau, PowerBI, etc.).
Comfortable with cloud infrastructure and IaC (AWS strongly preferred).
Soft skills to understand business needs and collaborate with non-tech teams on their use cases.
Embedded and real time analytics experience is a plus.
Streaming architectures (Kinesis/Kafka), ClickHouse, ELK, VictoriaMetrics, reverse-ETL is a plus.

Lead Data Engineer

Key skills