We are seeking a highly experienced Senior Data Architect to lead the data platform modernization initiative . This role is pivotal in supporting the migration from Power BI to Google Looker and BigQuery, optimizing data architecture on GCP, and enhancing end-to-end platform scalability, performance, and governance. The ideal candidate will serve as the primary technical interface for US-based stakeholders, ensuring seamless communication and execution across business and technical teams.

Key Responsibilities:

Architect, design, and guide implementation of scalable and secure data platforms using BigQuery, Looker, and GCP-native services.

• Collaborate with CSG stakeholders to define data migration roadmaps, semantic models, and performance benchmarks.
• Optimize BigQuery datasets using partitioning, clustering, and materialized views for performance and cost efficiency.
• Drive best practices in LookML modeling, self-service dashboards, and data governance in Looker.
• Provide leadership around data architecture patterns, data lineage, access control, and data cataloging.
• Ensure alignment with Google Cloud's Well-Architected Framework.
• Support application-layer data integration (e.g., Oracle Fusion, CRM systems).
• Mentor teams, support code reviews, framework creation, and migration accelerators.
• Work with DevOps and Platform Engineering on CI/CD, Terraform-based infrastructure, and automated testing pipelines.

Required Skills & Qualifications:

• 10+ years of experience in data architecture, with at least 3+ years on GCP.
• Deep expertise in BigQuery optimization, data modeling, cost management, and query tuning.
• Hands-on experience with Looker development (LookML) and dashboard governance.
• Familiarity with Google Data Catalog, Dataform, Composer, and Data Fusion.
• Experience with enterprise-grade systems (e.g., Oracle Fusion) and AMS practices.
• Ability to guide migration from Power BI to Looker.
• Excellent stakeholder communication, leadership, and problem-solving skills.
• Experience working in an Agile, sprint-based model.

Preferred Qualifications:

GCP Professional Data Engineer or Cloud Architect certification.