- Work from Anywhere: No
- Minimum Experience (In Years): 6
- Maximum Experience (In Years): 10
Key Responsibilities
Technical Leadership
- Lead the design and implementation of scalable data solutions on GCP.
- Define data architecture, data models, and enterprise data integration strategies.
- Establish data engineering best practices, coding standards, and governance frameworks.
- Provide technical guidance and mentorship to data engineers and developers.
Data Engineering & Development
- Design and develop data pipelines using GCP services such as:
- BigQuery
- Dataflow
- Dataproc
- Pub/Sub
- Cloud Composer
- Cloud Storage
- Cloud Functions
- Build and optimize ETL/ELT processes for batch and real-time data processing.
- Implement data quality, validation, and monitoring frameworks.
Support & Operations
- Manage production support activities and incident resolution.
- Perform root cause analysis and implement preventive measures.
- Monitor platform performance, availability, and cost optimization.
- Ensure compliance with SLAs and operational excellence standards.
Stakeholder Management
- Collaborate with business stakeholders, architects, and project managers.
- Translate business requirements into scalable technical solutions.
- Drive technical discussions, architecture reviews, and solution recommendations.
- Prepare status reports and communicate project progress to leadership.
Data Governance & Security
- Implement data security controls and compliance requirements.
- Ensure adherence to data governance policies.
- Manage access controls, encryption, and auditing mechanisms.
Required Skills
Google Cloud Platform (Mandatory)
- BigQuery
- Dataflow
- Dataproc
- Pub/Sub
- Cloud Composer (Airflow)
- Cloud Storage
- IAM & Security
Data Engineering
- SQL (Advanced)
- Python
- ETL/ELT Development
- Data Modeling
- Data Warehousing Concepts
- Data Quality Frameworks
Database Technologies
- SQL Server
- Oracle
- PostgreSQL
- Snowflake (preferred)
DevOps & CI/CD
- Git
- Jenkins / GitHub Actions
- Terraform (preferred)
- Infrastructure as Code concepts
Leadership Skills
- Team leadership and mentoring
- Stakeholder management
- Resource planning and estimation
- Agile/Scrum delivery model
Preferred Qualifications
- Bachelor's or Master's Degree in Computer Science, IT, Engineering, or related field.
- Google Cloud Professional Data Engineer Certification.
- Experience in cloud migration and modernization programs.
- Experience working in Banking, Financial Services, Insurance, Retail, or Healthcare domains is preferred.
Experience Requirements
- 10+ years in Data Engineering/Data Warehousing.
- 5+ years of hands-on experience in GCP Data Platform implementations.
- Experience leading teams of 5+ data engineers.
- Experience managing production support and enhancement projects.
Nice to Have
- Spark/PySpark
- Kafka
- Looker
- Tableau
- Power BI
- Machine Learning and AI/ML integration on GCP
- Data Governance tools such as Collibra or Alation
Key Competencies
- Technical Leadership
- Problem Solving
- Analytical Thinking
- Communication Skills
- Customer Focus
- Performance Management
- Risk Management
Responsibilities
We are seeking an experienced GCP Data Lead to lead the design, development, support, and optimization of enterprise-scale data platforms on Google Cloud Platform (GCP). The ideal candidate will possess strong expertise in cloud data engineering, data warehousing, ETL/ELT processes, data governance, and stakeholder management. This role requires both technical leadership and team management capabilities to drive data initiatives and support business-critical analytics solutions.
Qualifications
We are seeking an experienced GCP Data Lead to lead the design, development, support, and optimization of enterprise-scale data platforms on Google Cloud Platform (GCP). The ideal candidate will possess strong expertise in cloud data engineering, data warehousing, ETL/ELT processes, data governance, and stakeholder management. This role requires both technical leadership and team management capabilities to drive data initiatives and support business-critical analytics solutions.
About Us
At Zensar, we’re
“experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose:
Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is
ONE with Client - a set of four core values that reflect who we are and how we work:
One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore
Life at Zensar and join us to
Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.
