GCP Data Lead

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

• Bachelors or Masters 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