# Lead Data Engineer

**Experience:** 58 years | **Location:** Bangalore/India | **Type:** Full time

ROLE

Lead the design, build, and operations of a production-grade data platform. Own end-to-end pipelines, set engineering standards, and mentor a team of Data Engineers delivering data for analytics, ML, and product use cases.

RESPONSIBILITIES

- Lead & mentor a team of Data Engineers — code reviews, design reviews, growth plans
- Design and operate ETL/ELT pipelines in Python for batch and streaming workloads
- Own data modelling across PostgreSQL / Supabase (OLTP) and Cassandra (wide-column)
- Build and run orchestration on Apache Airflow — DAG design, SLAs, retries, backfills
- Deploy and operate the platform on AWS (EC2-based, self-managed stack)
- Establish data governance: catalog, lineage, ownership, MDM, data quality, profiling, observability
- Drive engineering excellence — Agile delivery, CI/CD, testing, IaC, code review

PRODUCT MINDSET

Treat the data platform as a long-lived product, not a project:

- Own outcomes across the full lifecycle — design, delivery, operations, iteration
- Optimise for scale, reliability, and maintainability with measurable SLAs and cost targets




- Prioritise based on user value (analytics, ML, product teams as customers)
- Ship iteratively; measure adoption, quality, and reliability continuously

MUST-HAVE

- 5–8 years in data engineering with proven experience leading and mentoring engineers
- Expert Python and strong SQL
- Production experience with PostgreSQL, Supabase, and Apache Cassandra
- Hands-on ownership of Apache Airflow at scale
- Comfortable running data workloads on AWS EC2 (Linux, networking, self-managed services)
- Strong ETL, data modelling, orchestration fundamentals
- Practical experience implementing data governance — MDM, data quality, data profiling, observability, lineage/catalog
- Agile, CI/CD, and coding best practices as everyday habits

GOOD-TO-HAVE

- Data security and compliance — encryption (KMS/at-rest/in-transit), PII handling, GDPR/PDPA
- Streaming (Kafka, Kinesis) and lakehouse (Iceberg, Delta) exposure
- IaC (Terraform, Ansible) for self-managed AWS stacks

EDUCATION

Bachelor's or Master's in Computer Science, Engineering, or related field.

📌 Lead Data Engineer (Bengaluru)
🏢 Ada Digital Analytics
📍 Bengaluru