Senior Data Engineering Project Manager

Persistent Systems Limited; Pune District; Hybrid; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

Hybrid work model

Company-sponsored higher education and

Long Service awards

Insurance coverage: group term life, M

Job summary

Persistent Systems Limited is seeking an experienced Senior Data Engineering Project Manager to lead enterprise-scale Google Cloud Platform data transformation and modernization initiatives.

You will manage cross-functional teams, drive end-to-end delivery, and collaborate with data architects to implement target-state cloud data architectures, including Medallion Architecture across Bronze, Silver and Gold layers, ensuring scalable, secure data pipelines and strong governance.

Qualifications

• 6-10 years of experience in Project Management, Data Engineering, Cloud Platforms, or Data Modernization initiatives.
• Proven experience managing enterprise-scale data engineering, analytics, or cloud transformation programs.
• Strong understanding of Google Cloud Platform (GCP) and cloud-native data ecosystems.

Responsibilities

• Lead offshore and distributed engineering teams in delivering enterprise data platform and modernization initiatives on GCP.
• Drive end-to-end project planning, execution, governance, risk management, and stakeholder communication.
• Collaborate with data architects and engineering teams to implement target-state cloud data architectures.
• Oversee implementation of Medallion Architecture across Bronze, Silver, and Gold data layers.
• Ensure successful delivery of scalable data ingestion, transformation, and semantic layer solutions using GCP-native services.
• Manage the development and deployment of reusable data pipelines, frameworks, accelerators, and automation solutions.
• Coordinate data governance, metadata management, lineage tracking, data quality, and security initiatives.
• Support migration, modernization, and consolidation of legacy and distributed BigQuery environments.
• Drive integration of enterprise data from SAP, CRM systems, APIs, flat files, and third-party applications.
• Monitor project schedules, budgets, dependencies, delivery milestones, and resource utilization.
• Lead Agile ceremonies including sprint planning, estimation, backlog reviews, release planning, and retrospectives.
• Coordinate with cross-functional teams including data engineers, architects, business stakeholders, analytics teams, and leadership.
• Support implementation of DataOps, DevOps, CI/CD, observability, and operational excellence practices.
• Prepare executive dashboards, project status reports, steering committee updates, and delivery roadmaps.
• Mentor and guide project and engineering teams, fostering a culture of collaboration, accountability, and continuous improvement.

Skills

Stakeholder management

Agile / Scrum

Executive reporting

Distributed/deliveries

Education

Bachelor's degree in CS/IT/Engineering/Data Science

Tools

Google Cloud Platform (GCP)

BigQuery

Dataflow

Dataproc

Cloud Composer

Pub/Sub

Cloud Storage

Job description

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

We are seeking an experienced Senior Data Engineering Project Manager to lead enterprise-scale Google Cloud Platform (GCP) data transformation and modernization initiatives. The ideal candidate will combine strong project delivery expertise with a solid understanding of modern data engineering practices, cloud-native data platforms, and large-scale data migration programs. You will be responsible for managing cross-functional teams, driving project execution, and ensuring the successful delivery of scalable and secure data solutions that support business growth and analytics objectives.

• Location: All Persistent Locations
• Experience: 6 to 10 Years
• Job Type: Full-Time Employment

What You'll Do:

• Lead offshore and distributed engineering teams in delivering enterprise data platform and modernization initiatives on GCP.
• Drive end-to-end project planning, execution, governance, risk management, and stakeholder communication.
• Collaborate with data architects and engineering teams to implement target-state cloud data architectures.
• Oversee implementation of Medallion Architecture across Bronze, Silver, and Gold data layers.
• Ensure successful delivery of scalable data ingestion, transformation, and semantic layer solutions using GCP-native services.
• Manage the development and deployment of reusable data pipelines, frameworks, accelerators, and automation solutions.
• Coordinate data governance, metadata management, lineage tracking, data quality, and security initiatives.
• Support migration, modernization, and consolidation of legacy and distributed BigQuery environments.
• Drive integration of enterprise data from SAP, CRM systems, APIs, flat files, and third-party applications.
• Monitor project schedules, budgets, dependencies, delivery milestones, and resource utilization.
• Lead Agile ceremonies including sprint planning, estimation, backlog reviews, release planning, and retrospectives.
• Coordinate with cross-functional teams including data engineers, architects, business stakeholders, analytics teams, and leadership.
• Support implementation of DataOps, DevOps, CI/CD, observability, and operational excellence practices.
• Prepare executive dashboards, project status reports, steering committee updates, and delivery roadmaps.
• Mentor and guide project and engineering teams, fostering a culture of collaboration, accountability, and continuous improvement.

Expertise You'll Bring:

• 6-10 years of experience in Project Management, Data Engineering, Cloud Platforms, or Data Modernization initiatives.
• Proven experience managing enterprise-scale data engineering, analytics, or cloud transformation programs.
• Strong understanding of Google Cloud Platform (GCP) and cloud-native data ecosystems.
• Hands-on knowledge of BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, and Cloud Storage.
• Experience working with data warehousing, lakehouse architectures, and enterprise analytics platforms.
• Strong understanding of Medallion Architecture and modern data engineering practices.
• Working knowledge of SQL and Python for data engineering and analytics initiatives.
• Experience managing BigQuery migration, modernization, and cloud transformation projects.
• Strong knowledge of data governance, metadata management, data lineage, security, and data quality frameworks.
• Experience integrating enterprise systems including SAP, CRM applications, APIs, and third-party data sources.
• Expertise in Agile, Scrum, and modern project delivery methodologies.
• Experience implementing DataOps, DevOps, automation frameworks, and CI/CD pipelines.
• Strong stakeholder management, client communication, and executive reporting skills.
• Ability to manage distributed delivery teams across multiple locations.
• Experience in project planning, budgeting, resource allocation, estimation, and governance.
• Strong analytical, risk management, problem-solving, and decision-making capabilities.
• Experience working with enterprise reporting, analytics, and business intelligence platforms.
• Understanding of cloud-native architecture patterns and data modernization strategies.
• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment.

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."