ValueLabs is Hiring Cloud Data Architect (Google Cloud BigQuery)
Experience : 10 + years
Notice period : Immediate to 15 Days
Location : Hyderabad
The Cloud Data Architect will serve as the key technical leader responsible for the comprehensive end-to-end data architecture, design, and governance of the Google Cloud BigQuery platform, ensuring scalable, secure, and cost-effective analytics solutions.
Skills:
Sqoop, DataFlow, DataProc, Cloud Pub/Sub, Cloud Composer, PySpark, Python, GCS, BigQuery, DAG, DataPlex
Certifications:
GCP Cloud Architect
GCP Professional Data Engineer
Roles & Responsibilities :
- Architectural Strategy: Design and implement a scalable, cost-optimized BigQuery architecture leveraging advanced features such as partitioning, clustering, and materialized views to maximize performance and minimize costs
- Data Modeling: Develop robust enterprise data models and semantic layers to support comprehensive analytics, reporting, business intelligence, marketing campaign optimization, and advanced data science use cases
- Business Engagement: Act as a trusted advisor to executives and business teams, translating business objectives into technical solutions that drive measurable outcomes
- Data Management: Define and implement master and reference data strategies to ensure data consistency, accuracy, and governance across multiple domains
- Data Quality Automation: Lead initiatives to automate data quality assurance by creating business transformation rules, automated checks, and reconciliation frameworks to uphold high data integrity standards
- Testing & Validation: Collaborate with QA teams to review and validate test cases, ensuring full coverage of business use cases and requirements, and rigorously assess data quality results
- Integration & Deployment: Coordinate across multiple teams to manage system dependencies, validate integration points, and support seamless system deployment activities
- User Acceptance Testing (UAT) & Production Rollouts: Work closely with business and IT stakeholders to coordinate UAT signoffs and oversee production cutovers, ensuring smooth deployment with well-defined fallback and contingency plans
- Governance & Security: Establish and enforce data governance standards including IAM role configurations, encryption policies, metadata management, and data lineage tracking
- Cost & Performance Optimization: Continuously monitor BigQuery usage and performance metrics to recommend and implement strategies for query optimization, and storage lifecycle policies to balance performance with cost efficiency
