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

• 9+ years of experience in leading the architecture, design, and implementation of scalable, secure, and cost‑efficient data platforms on GCP.
• Design and optimize batch and real-time data pipelines using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer (Airflow).
• Architect and manage GCP databases including Bigtable, Spanner, Cloud SQL, and AlloyDB, selecting the right technology for each use case.
• Drive data modeling, data warehousing, and performance optimization strategies.
• Define and implement CI/CD standards for data engineering workloads.
• Lead complex data and application migration programs, including legacy modernization initiatives.
• Implement robust data quality frameworks, validation rules, monitoring, and alerting.
• Ensure security, governance, and compliance best practices (IAM, encryption, access controls).
• Optimize solutions for cost, scalability, availability, and reliability.
• Act as a technical advisor to clients and internal stakeholders.
• Review designs and code, providing guidance and best practices to the team.
• Mentor and coach junior engineers and consultants.
• Contribute to pre-sales activities, solution estimations, and technical proposals (where applicable).

Preferred Qualifications

• Education - B. tech or BE

Success Metrics

• Deep hands-on expertise with GCP data services and cloud-native architecture
• Advanced proficiency in SQL and Python / Java / Scala
• Strong experience with distributed systems and large-scale data processing
• Proven leadership in design reviews and technical decision-making
• Experience in client-facing consulting environments
• Strong problem-solving, communication, and stakeholder management skills
• Google Cloud Certified – Professional Data Engineer
• Experience designing enterprise-scale or multi-region architecture
• Exposure to data governance, lineage, and observability tools
• Prior experience leading or mentoring data engineering teams

Location and way of working:

• Base location: Pune, Mumbai , Bengaluru
• This profile involves travelling to client locations.