[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Melbourne # Data Modeler Melbourne Data & Analytics Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/412742J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Data Modeler ## Job description ### Job Description Roles and Responsibilities: Technical Skills: - 8–10+ years overall in data modeling/governance with at least 3+ years on GCP; strong SQL across analytical warehouses (BigQuery preferred). - Proven delivery of conceptual/logical/physical models for analytics & data products; deep knowledge of dimensional modeling (Kimball) and familiarity with Data Vault 2.0. ### Hands‑on Collibra - configuring communities/domains, operating model, business glossary, policies, lineage ingestion, issue management, and stewardship workflows. ### Practical stewardship - defining CDEs, data quality rules/thresholds, certification criteria, and data access approvals. - Experience collaborating with data engineers on Dataflow/Dataproc/Composer, and optimizing BigQuery for performance & cost. - Excellent documentation, facilitation, and stakeholder management across business and technology. ### Soft Skills Excellent stakeholder management, facilitation with data owners/stewards, strong documentation and presentation skills Key Responsiblities: Enterprise Data Modeling - Translate business concepts into conceptual, logical, and physical data models; define CDEs, semantic layers, and naming/standards. - Build BigQuery schemas optimized with partitioning, clustering, and cost effective storage patterns; design star/snowflake models (Kimball) or Data Vault 2.0 where appropriate. - Guide model versioning, peer reviews, and lifecycle management in Git based workflows. ### GCP Data Engineering Collaboration - Partner with data engineers on ingestion and transformation pipelines (Cloud Dataflow / Dataproc / Composer / Pub/Sub / Cloud Functions or dbt on BigQuery). - Define performance & cost guardrails (slots vs. on demand, storage/compute separation, query choreography). ### Data Governance & Stewardship - Establish business glossary, data domains, ownership (Data Owners, Stewards, Custodians), and policies/standards aligned to DAMA practices. - Run issue management, access governance, and data certification workflows; drive DQ rule definitions and monitor remediation. ### Collibra Administration & Enablement - Configure Collibra operating model (communities, domains, responsibilities), business glossary, and stewardship workflows (BPMN). - Onboard technical metadata and lineage from GCP (e.g., BigQuery, Dataflow) via Collibra Connect/Edge; integrate with DQ/observability tools. - Build Collibra dashboards and stewardship KPIs; coach squads on day to day usage. Risk, Compliance & Privacy - Embed data policies for PII and regulated datasets (e.g., GDPR, DPDP (India)) within models and governance assets; ensure auditability and access controls via IAM. Stakeholder & Delivery Facilitate model walkthroughs wi th business, architecture, and product teams; maintain backlogs; drive 30/60/90 day measurable outcomes. Good to have: - Collibra Certifications (e.g., Ranger, Data Steward, Governance) and GCP Professional Data Engineer. - Data modeling tools (e.g., erwin, ER/Studio, SqlDBM, Hackolade). - Experience with data quality/observability tooling (including Collibra DQ/Observability or equivalents) and Data Catalog/MDE integrations. - Python/dbt for transformations; CI/CD for data (Git, Terraform for infra is a plus). - Domain experience in Travel, Transportation & Hospitality (TTH) is advantageous