About ADA

ADA is a leading data and artificial intelligence (AI) company that designs and executes integrated digital, analytics, and marketing solutions. We operate in 12 markets in Asia and partner with leading brands to drive their data and digital maturity.

About The Role

We are looking for a Lead Data engineer to lead the effort for designing, building, and maintaining robust, scalable, and high-performance data infrastructure. In this role, you will work on end-to-end data pipelines, ensuring reliable data availability for analytics, machine learning, and business applications.

# Lead Data Engineer

- Experience: 5–8 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)
- Solid 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.

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Unfortunately, we are only able to contact shortlisted applicants. We encourage you to continuously visit our website www.adaglobal.com for regular updates on available roles

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📌 Lead Data Engineer (Bengaluru)
🏢 ADA
📍 Bengaluru