Lead Data Modeller

As a Lead Data Modeller You Will: Lead conceptual logical and physical data modeling initiatives across enterprise data platforms and business domains. Establish and maintain data modeling conventions naming standards versioning strategies and governance practices. Define domain boundaries core entities master/reference data structures and authoritative systems for subject areas. Create model-to-contract mappings for APIs data products and Operational Data Store (ODS) tables. Collaborate with Data Owners and Data Stewards to secure approvals for data definitions business rules and change management processes. Contribute to enterprise governance forums metadata management initiatives and data lineage programs. Ensure glossary completeness and lineage capture using Dataplex and Data Catalog standards and conventions. Apply CIA-based data classification frameworks including Confidentiality Integrity Accountability and Availability at attribute level. Define masking pseudonymization and role-based access control requirements for sensitive and PII data. Embed data-sharing principles governance standards and data contract rules into model deliverables. Shape BigQuery physical models including partitioning clustering strategies constraints and table/view optimization aligned to near real-time ODS requirements. Collaborate with platform teams to align metadata harvesting domain structures and data zone standards within GCP environments. Translate business rules into data quality checks observability frameworks and acceptance criteria integrated within source and ELT layers. Contribute to data quality dashboards governance backlogs and operational monitoring initiatives. Design reusable and governed data products with clearly defined SLAs SLOs service boundaries and standardized API enablement strategies. Facilitate modeling workshops steward reviews and cross-domain design sessions while documenting architecture decisions and traceability. What You Bring to the Table: 68 years of experience in enterprise data modeling data architecture and governance initiatives. Strong expertise in conceptual logical and physical data modeling methodologies. Deep understanding of master data management reference data structures and enterprise data governance practices. Hands-on experience designing data models for APIs data products and Operational Data Store environments. Strong knowledge of BigQuery physical modeling partitioning clustering and optimization strategies within GCP ecosystems. Experience with Dataplex Data Catalog metadata management and data lineage frameworks. Strong understanding of data privacy data security masking pseudonymization and compliance principles. Experience implementing data quality frameworks observability solutions and governance standards. Knowledge of enterprise data product design SLA/SLO management and API enablement strategies. Strong analytical stakeholder management communication and facilitation skills. Ability to collaborate effectively with architects governance teams data stewards platform teams and business stakeholders. You Should Possess the Ability To: Design scalable governed and enterprise-grade data models across complex business domains. Translate business requirements into optimized and standardized data structures and governance models. Drive enterprise data governance lineage quality and metadata management initiatives. Collaborate effectively across technical governance and business teams within large-scale data ecosystems. Ensure compliance security and operational consistency across enterprise data platforms. Facilitate data modeling workshops governance reviews and architecture alignment discussions. Optimize data structures and physical models for performance scalability and near real-time analytics requirements. Promote continuous improvement and modern data architecture best practices across enterprise environments. What We Bring to the Table: Opportunity to work on enterprise-scale data transformation and governance initiatives. Exposure to advanced GCP BigQuery metadata management and enterprise data architecture environments. Collaborative and innovation-driven data engineering culture. Opportunities for continuous learning technical growth and professional development. Dynamic environment encouraging ownership governance excellence and strategic innovation. Exposure to large-scale enterprise data modernization and digital transformation programs. Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Hema Murali Phone:; Extn :148 E-mail: LinkedIn: