Job Role - Enterprise Data Modeler – Midstream Oil & Gas.
Location: PAN India
Experience: 7+ Years
Domain: Midstream Oil & Gas — Mandatory
Qualification: Any Graduate | Any Post Graduate | Any Diploma
We are looking for an experienced Enterprise Data Modeler with robust Midstream Oil & Gas domain expertise to design and govern data models supporting pipeline, gathering, processing, storage, commercial, regulatory, and analytics platforms.
This role sits at the intersection of Data Architecture + Data Modeling + Midstream Domain Expertise, working across Snowflake, dbt, Informatica IDMC, and Airflow.
● Key Responsibilities
- Design Conceptual, Logical & Physical Data Models
- Build ER Diagrams, Star Schemas, Data Vault & 3NF models
- Model midstream domains including:
Pipeline scheduling & nominations
Volumetric measurement & allocations
Gathering & processing
Terminal / storage inventory
Tariffs & regulatory reporting
Commercial contracts
- Define and govern Bronze → Silver → Gold data-layering strategy
- Design Fact & Dimension models, SCD Type 1/2, surrogate & natural keys
- Develop conformed dimensions across business units
- Partner with Data Engineering teams on dbt sources, staging models & marts
- Define Data Dictionary, Metadata, Lineage & Business Definitions
- Reconcile source systems into conformed enterprise data models
- Support Master Data Management for assets, meters, contracts, counterparties & tariff schedules
- Contribute to Data Governance, Data Quality & Modeling Standards
● Mandatory Skills
• Midstream Oil & Gas Domain – Mandatory
• 5+ years of Data Modeling experience
• Conceptual / Logical / Physical Data Modeling
• ERD | Star Schema | Data Vault | 3NF
• Fact & Dimension Design | SCD Type 1 & 2
• Strong SQL
• Snowflake or equivalent cloud data warehouse
• dbt or comparable transformation framework
• Data Dictionary | Metadata | Lineage | Data Quality
• Experience with data modeling tools such as erwin, ER/Studio, SqlDBM, dbdiagram or similar
● Good to Have
- Informatica IDMC / CDC / ETL-ELT
- Airflow / DAG orchestration
- Medallion / Lakehouse Architecture
- Data Governance / Data Stewardship
- Experience with batch vs. CDC ingestion patterns
● Interested candidates can share their updated profile:
• Email:
[email protected]
• Call / WhatsApp: +91-(phone hidden)
You can also connect with me on LinkedIn and share your updated profile. If I’m unavailable on call, please leave a WhatsApp message, and I’ll get back to you at the earliest.
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