Walk-in || GCP Data Engineering Manager

Role & responsibilities

Only Immediate Joiners, Joining by 1st Week of September

Face to Face interview

Engineering Manager

Onshore • Data Engineering Delivery Management

Location: Bangalore (Hybrid)

Position Type: Full-time / Consultant

Job Description

We are seeking an Engineering Manager to own end-to-end programme delivery for a large-scale, cloud-based data engineering engagement on Google Cloud Platform (GCP). The ideal candidate will manage a distributed team of data engineers, leads, and analysts across all sprints driving sprint planning, milestone governance, stakeholder communication, and change management — while serving as the primary escalation point for blockers and dependencies and championing Agile best practices and a high-performance delivery culture across the offshore-onshore team.

Responsibilities

• Lead the design and implementation of large-scale data engineering projects, including

data lakes and data pipelines on cloud platforms like AWS, Azure, or GCP.

• Drive the pre-sales process by engaging with clients, understanding requirements, and

developing technical proposals and proof of concepts (PoCs).

• Manage end-to-end programme delivery across all sprints: sprint planning, backlog prioritisation, velocity tracking, and milestone governance for a distributed team of data engineers, leads, and analysts.
• Act as the primary escalation point for blockers and dependencies; coordinate environment readiness and release scheduling with the DevOps Engineer.
• Drive stakeholder communication, change-request management, and progress reporting.
• Champion continuous improvement — Agile best practices, documentation quality, and a high-performance delivery culture across the offshore-onshore team.

Required Skills

• Proven experience managing distributed data engineering teams in an Agile / Scrum framework using JIRA and Confluence.
• Sufficient GCP data engineering knowledge to assess technical risks, facilitate architecture discussions, and manage delivery trade-offs.
• Strong stakeholder management and executive reporting skills; experience managing client expectations in fixed-scope engagements.
• Servant-leadership mindset with expertise in offshore / onshore team coordination, time-zone management, and knowledge transfer.
• Excellent communication skills to effectively interact with stakeholders, clients, and
• technical teams.
• 8–10 years of professional experience, including delivery and engineering management of data engineering or data platform programs, with hands-on involvement in at least one data lake implementation.

Preferred Qualifications

• Agile / Scrum certification (e.g., CSM, SAFe) or PMP.
• Experience delivering fixed-bid engagements on GCP data services.
• Experience with data governance tools like AWS Lake Formation, Azure Purview, or
• Google Data Catalog.
• Certifications in cloud platforms such as AWS Certified Solutions Architect, Azure

Data Engineer, or Google Professional Data Engineer.

• Familiarity with CI/CD pipelines and DevOps practices in the context of data

engineering.

Interested candidate do share your CV with [email protected]

Preferred candidate profile