GCP Data Lead

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 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 NA Qualifications NA