Delivery Head For Data Engineering and Cloud Data Lake
Description
Job Title: Delivery Head / Delivery Director Data Engineering & Cloud Data Lakes
Location: Bangalore | Experience: 12–18+ Years
- Lead enterprise-scale Cloud Data Lake and Lakehouse transformation programs with end-to-end delivery ownership.
- Strong career progression from Data Engineer / ETL Developer / Data Architect to Engineering Manager or Delivery Leader.
- Expertise in GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer) and/or AWS (S3, Glue, Redshift, EMR, Kinesis).
- Oversee batch and real-time ingestion using Apache Kafka, Pub/Sub, and event-driven architectures.
- Strong understanding of Medallion Architecture (Bronze/Silver/Gold), PySpark, Delta Lake, Iceberg, Snowflake, and BigQuery.
- Experience integrating enterprise systems including SAP, PeopleSoft, Salesforce, Workday, databases, and flat files.
- Drive reusable data platform capabilities, centralized logging, observability, telemetry, and automated error handling.
- Knowledge of Terraform/IaC, CI/CD, Airflow/Cloud Composer, Azure DevOps, GitHub Actions, and Git branching strategies.
- Experience managing terabytes to petabytes of data, billions of records, performance optimization, partitioning, and cloud costs.
- Support presales, solution reviews, technical sizing, effort estimation, and delivery scope validation.
- Translate business requirements across HR, Finance, Operations, and Security into scalable data solutions.
- Mentor Project Managers, Technical Leads, and Data Engineers while managing executive stakeholder relationships.
- Own production/UAT cutovers, backfills, SLA commitments, risk mitigation, and critical or weekend escalations.
Apply to: hrteam8@ontimeglobal.in
Skills
- Airflow
- AWS
- Azure
- Azure DevOps
- BigQuery
- CI/CD
- Cloud
- Cloud Composer
- Data Engineering
- Data Lake
- Dataproc
- Delta Lake
- DevOps
- ETL
- Event Driven Architecture
- GCP
- Git
- GitHub
- GitHub Actions
- Infrastructure as Code
- Kafka
- Kinesis
- Lakehouse
- Medallion Architecture
- Observability
- PeopleSoft
- Pre-sales
- PySpark
- Redshift
- S3
- Salesforce
- SAP
- Snowflake
- Terraform