Engineering Manager

Gsinsight Consulting Services Chennai; Bengaluru; Hybrid; INR 3,500,000 - 4,500,000; Full time

Job summary

Gsinsight Consulting Services Chennai in Bengaluru is seeking a senior data engineering leader to design and deliver large-scale data projects. You will oversee data lakes and pipelines on cloud platforms, drive pre-sales activities with PoCs, and manage end-to-end delivery for distributed teams.

The role requires strong stakeholder management, executive reporting, and a servant-leadership approach to coordinate offshore/onshore teams.

Qualifications

• Proven experience managing distributed data engineering teams in Agile/Scrum with JIRA/Confluence.
• Strong GCP data engineering knowledge to assess risks and manage delivery trade-offs.
• Excellent stakeholder management and executive reporting abilities.
• Servant-leadership for offshore/onshore team coordination and knowledge transfer.
• Clear communication with stakeholders, clients and technical teams.
• Extensive delivery experience in data engineering or data platform programs, incl. data lakes.

Responsibilities

• Lead design and implementation of large-scale data engineering projects, including data lakes and pipelines on cloud platforms.
• Drive pre-sales by engaging with clients, gathering requirements, and developing PoCs.
• Manage end-to-end programme delivery across all sprints for distributed teams.
• Escalate blockers and coordinate environment readiness and release scheduling with DevOps.
• Drive stakeholder communication, change requests, and progress reporting.
• Promote Agile best practices and high-quality delivery across offshore/onshore teams.

Skills

Data engineering leadership

Agile / Scrum

Stakeholder management

Executive reporting

Communication

Tools

JIRA

Confluence

GCP

AWS

Azure

Job description

This is initially C2H for 6 months, then will be taken into direct payroll

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.
• 810 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.