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Role: Tower Lead
Experience 12-15 years Location Bangalore / Hyderabad / Chennai / Kolkata
Engagement Offshore Primary stack AWS, Databricks, DBT, Airflow
Role Summary
Seeking an experienced Data Engineering Tower Lead to own end-to-end delivery and technical leadership for Investment Group data initiatives. The role requires strong expertise in AWS, Databricks, DBT, and Airflow, with accountability for modern data platform architecture, multi-pod delivery, engineering governance, and stakeholder management.
Core Responsibilities
· Lead multiple data engineering pods and own tower-level planning, delivery, quality, risks, dependencies, and escalations.
· Define scalable AWS and Databricks architecture patterns for investment data ingestion, transformation, and curation.
· Guide enterprise DBT implementation and Airflow-based orchestration, reliability, and operational readiness.
· Govern technical designs, code reviews, testing, CI/CD, release management, security, and engineering standards.
· Drive platform performance, data quality, automation, observability, resiliency, and cost optimization.
· Engage business and technology stakeholders and mentor architects, pod leads, and engineers.
Required Experience and Skills
· 12-15 years of data engineering experience with proven technical and delivery leadership.
· Strong hands-on expertise in AWS, Databricks, DBT, and Apache Airflow.
· Experience designing and delivering cloud-native data platforms and enterprise ETL/ELT solutions.
· Expertise in Databricks performance tuning, DBT transformation frameworks, and Airflow DAG design.
· Working knowledge of Infrastructure as Code, Git-based CI/CD, automated testing, and Agile delivery.
· Strong communication, stakeholder management, problem-solving, and team leadership capabilities.
Preferred
· Asset Management or Investment Management domain experience.
· Understanding of portfolio management, investment research, risk analytics, compliance, and client reporting data.
· Exposure to Harness, Kubernetes, CloudFormation or Terraform, Astronomer, Dremio, Tableau, or Autosys.
· AWS certification and experience with AI-assisted engineering tools.
Work arrangement
No
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