We are seeking an experienced Delivery Manager - Data Engineering to lead and oversee the delivery of complex, large-scale data initiatives across cloud and modern data platforms. The ideal candidate will combine strong delivery management skills with deep expertise in data engineering, cloud technologies, and modern data architectures, ensuring successful outcomes for our global clients.

Key Responsibilities :

- Manage the end-to-end delivery lifecycle of multiple client projects across Data Engineering, Cloud, and Analytics domains.

- Lead and mentor cross-functional technical teams comprising data engineers, cloud architects, and BI specialists.

- Collaborate closely with client stakeholders, translating business requirements into technical execution plans.

- Ensure delivery quality, on-time execution, and adherence to project budgets and governance frameworks.

- Implement Agile methodologies to drive efficiency, transparency, and continuous improvement.

- Support pre-sales and solutioning efforts by defining scope, timelines, resource plans, and delivery roadmaps.

- Establish delivery KPIs and track progress through structured reporting and risk management.

- Drive innovation and automation within delivery processes to enhance scalability and efficiency.

Skillset :

- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.

- 10+ years of total experience, with at least 4+ years in project or delivery management for data or cloud-based projects.

- Proven experience in managing enterprise-scale data engineering programs on platforms like Databricks, Azure, AWS, or GCP.

- Strong understanding of :

1. ETL/ELT pipelines, data lakes, and data warehousing architectures.

2. Spark, PySpark, SQL, and distributed data processing frameworks.

3. CI/CD, DevOps, and DataOps methodologies.

- Excellent stakeholder management, leadership, and communication skills.

- Experience working in onshore-offshore delivery models within a consulting setup.

- PMP, CSM, or Agile certification preferred.