Job Title:  Manager | Cloud Data Engineering | Pune | Engineering

Job Title: Cloud Data Engineering Delivery Lead

Experience: 10+ years

Role Overview

The Cloud Data Engineering Delivery Lead is accountable for end-to-end delivery, execution governance, and outcome realization of large-scale cloud data engineering programs. This role combines technical depth, delivery leadership, and stakeholder management to ensure predictable, high-quality delivery across multiple teams and workstreams.

Key Responsibilities

• Own end-to-end delivery of cloud data engineering programs across multiple squads.
• Act as the primary delivery interface for senior stakeholders, business leaders, and technology partners.
• Drive delivery governance, planning, execution tracking, and risk management.
• Ensure alignment between data architecture, engineering execution, and business outcomes.
• Lead and mentor Data Engineering Leads and Senior Engineers.
• Oversee delivery across ingestion, transformation, data products, and consumption layers.
• Ensure engineering excellence including performance, scalability, security, and cost optimization.
• Manage dependencies across platforms, domains, and external vendors.
• Drive production stability, release readiness, and incident management.
• Enable Agile / SAFe delivery, without being a pure process role (not RTE).

Required Experience & Skills

• 12+ years in data engineering / data platform delivery, with strong cloud exposure.
• Proven experience as a Delivery Lead / Technical Program Lead / Engineering Manager for data programs.
• Hands-on background in cloud-native data architectures (AWS / Azure / GCP).
• Strong expertise in Spark / Databricks, SQL, Python, and modern ELT patterns.
• Experience delivering large-scale data lakes, warehouses, and data products.
• Strong understanding of data governance, security, and regulatory controls.
• Excellent stakeholder management and executive communication skills.

Leadership & Delivery Capabilities

• Program-level planning, estimation, and execution ownership
• Dependency, risk, and issue management (RAID)
• Vendor and partner coordination
• Coaching teams on delivery discipline and technical best practices
• Executive-level reporting and decision support