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GCP Data Lead

fa-etvl-saasfaprod1

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  5. Tell me about a time you disagreed with your manager. What happened?

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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 NA

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Listed on oraclehcm · posted 2026-08-12. ApplySarthi collects openings and links to application pages; the role is advertised by fa-etvl-saasfaprod1, not by us.