Description

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 Qualified 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

NA

Qualifications

NA

📌 GCP Data Lead (India)
🏢 Zensar Technologies
📍 India