Job Title:  Manager | GCP Data Engineer | Ahmedabad | Engineering | Data Modernization & Migration

The Team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.    

Your work profile

The GCP data engineer is responsible for managing client relationships and overseeing the successful delivery of programs or accounts. This role serves as the primary point of contact between the organization and its clients, ensuring alignment of goals, timelines, budgets, and expected outcomes while driving client satisfaction and business growth.

Key Skills & Competencies                              

Experience

• 8–11 years of overall IT experience
• Minimum 5+ years in GCP Data Engineering projects
• Proven experience in leadership roles within consulting or enterprise environments

Technical Expertise

• Strong hands-on experience with Google Cloud Platform (GCP)
• Deep expertise in:
• BigQuery
• Dataflow
• Dataproc
• Pub/Sub
• Cloud Composer (Airflow)
• Cloud Storage
• Strong programming skills:
• Python
• SQL
• Strong experience in:
• Spark and distributed data processing
• ETL/ELT frameworks
• Data warehousing and data lake architectures
• Real-time streaming data solutions
• Experience with:
• CI/CD pipelines
• DevOps practices
• Infrastructure as Code (Terraform preferred)

Architecture & Engineering

• Designing scalable, cloud-native data platforms
• Building batch and real-time data processing systems
• Leading data migration and modernization programs (on-prem to GCP)
• Defining data models, governance frameworks, and best practices
• Ensuring performance optimization, cost efficiency, and system reliability
• Implementing observability, monitoring, and security standards

Delivery & Program Management

• Leading multiple delivery workstreams and data engineering teams
• Managing project planning, estimation, and risk mitigation
• Driving Agile/Scrum delivery execution
• Conducting architecture, design, and code reviews
• Ensuring alignment with stakeholders and timely delivery

Team Leadership

• Mentoring and guiding engineers and technical leads
• Supporting hiring, training, and capability development
• Building GCP data engineering competency within the practice
• Promoting innovation and modern engineering practices

Consulting & Client Engagement

• Participating in pre-sales, solutioning, and proposal development
• Leading client workshops and requirement gathering sessions
• Presenting architecture solutions and transformation roadmaps
• Acting as a trusted advisor for enterprise data transformation programs

Preferred Skills

• Experience with Kubernetes and Docker
• Exposure to BI tools (Looker, Tableau, Power BI)
• Knowledge of data governance and security frameworks
• Familiarity with multi-cloud environments (AWS/Azure)

Preferred Qualifications

Education – B.Tech / BE or equivalent

Success Metrics

• Successful delivery of large-scale GCP data transformation programs
• High client satisfaction and stakeholder alignment
• Scalable, optimized, and secure data platforms
• Strong team capability building and knowledge development