Looking for a hands-on Technical Lead to build and scale data platforms and AI solutions on Google Cloud Platform. This role combines architecture, coding, and team leadership.
Responsibilities
- Design and own scalable data pipelines and architecture
- Build and optimize ELT workflows using dbt
- Manage orchestration and data workflows (Airflow or similar)
- Deploy and manage services on Google Kubernetes Engine / or any cloud
- Optimize performance and cost (BigQuery or similar warehouses)
- Integrate ML/AI models into production systems
- Lead code reviews, enforce standards, and mentor engineers
Requirements
- 10+ years in Data/Software Engineering
- Strong in SQL, Python, Spark/PySpark
- Hands-on with Google Cloud Platform (BigQuery, GCS, IAM) or any other cloud (AWS/ Azure)
- Experience with dbt, Airflow, and contemporary ELT (not mandatory)
- Solid data modeling and performance tuning skills
- Prior team leadership experience
Nice to Have
- GenAI / LLM / Vector search
- Large-scale datasets (100M+ records)
- BI tools (Tableau, Power BI)
Bottom Line
Must be able to design, build, and fix systems independently—not just manage
📌 Technical Lead Data Engineering (Pune)
🏢 Accion Labs
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