Lead Data Integration Engineer

About the role

We are looking for a visionary Lead Data Integration Engineer to head our data solutions team. In this technical leadership position you will design, build and maintain enterprise‑grade data pipelines while guiding a high‑performing group of engineers.

Key responsibilities

• Mentor and lead a team of 5+ data integration and ETL engineers, managing sprints, resources and risks.
• Conduct code reviews and establish testing frameworks for SQL, Python and Scala code.
• Champion modern development practices such as CI/CD, Git version control, modular design and automated monitoring.
• Architect end‑to‑end data pipelines using serverless or hybrid frameworks.
• Implement robust scheduling and orchestration with Apache Airflow (Astronomer) or cloud‑native schedulers to achieve >99.5% reliability.
• Design and maintain scalable data models (OLAP, OLTP, star/snowflake schemas, data lakes, lakehouses, data mesh).
• Apply CDC, micro‑batching, delta extracts and partition maintenance for efficient ingestion.
• Collaborate with product owners and architects to translate business needs into technical specifications and data‑flow diagrams.
• Present technical solutions to C‑level executives, highlighting ROI and performance gains.

Required profile

• 5+ years of experience in data management, database design, migration and advanced modeling.
• Proven track record leading and mentoring teams of 4–7 data engineers.
• Strong communication skills to bridge business and technology.

Required skills

• SQL, Python, Scala
• Apache Airflow (Astronomer), CI/CD, Git
• Talend, AWS Glue, Azure Data Factory, GCP Dataflow, Apache NiFi
• Serverless frameworks and cloud‑native schedulers
• Data modeling (OLAP, OLTP, star/snowflake, data lakes, lakehouses, data mesh)
• Change Data Capture (CDC), micro‑batching, delta extracts

What we offer

• Fully remote work from anywhere in Georgia (home, Tbilisi, Batumi or Kutaisi coworking spaces).
• Opportunity to shape cloud‑native data architecture at scale.
• Collaborative, innovation‑driven culture.