Lead Data Engineer
ADA Global2 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead and mentor a team of Data Engineers through code reviews, design reviews, and growth plans.
- Design and operate Python ETL/ELT pipelines for batch and streaming workloads.
- Own data modeling across PostgreSQL, Supabase, and Cassandra.
- Build and operate Apache Airflow orchestration, including DAGs, SLAs, retries, and backfills.
- Deploy and operate a self-managed data platform on AWS EC2.
- Establish data governance covering catalog, lineage, ownership, MDM, data quality, profiling, and observability.
- Drive engineering standards covering delivery practices, CI/CD, testing, infrastructure as code, and code review.
- Own platform outcomes across design, delivery, operations, and continuous iteration while optimizing scale, reliability, maintainability, adoption, quality, and cost.
Requirements
- 5–8 years of data engineering experience with proven experience leading and mentoring engineers.
- Expert Python and strong SQL skills.
- Production experience with PostgreSQL, Supabase, and Apache Cassandra.
- Hands-on ownership of Apache Airflow at scale.
- Experience running data workloads on AWS EC2, including Linux, networking, and self-managed services.
- Strong ETL, data modeling, and orchestration fundamentals.
- Practical experience with data governance, including MDM, data quality, data profiling, observability, and lineage/catalog.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Good-to-have experience with data security and compliance, encryption, PII handling, GDPR/PDPA, Kafka, Kinesis, Iceberg, Delta, Terraform, or Ansible.
Benefits
- Full-time role located in Bangalore, India.
Tech Stack
Categories
Data Engineering
About ADA Global
ADA Global builds data and AI platforms and services that help enterprises manage identity and authentication, personalization, commerce, and analytics across channels. Operating in 14 markets, it serves more than 1,500 brands in CPG, retail, telecommunications, financial services, and healthcare. Its business combines software and managed services, including cloud-native deployment, data engineering, and applied machine learning to improve customer experience and growth outcomes.