Elfonze Technologies
Skills: SQL
This is a remote position.
Design conceptual, logical, and physical data models (ER diagrams, dimensional/star schemas, Data Vault where applicable) for midstream data domains — pipeline scheduling and nominations, volumetric measurement and allocations, gathering and processing, terminal/storage inventory, tariffs and regulatory reporting, and commercial contracts.
Own the Bronze → Silver → Gold layering strategy in partnership with data engineering: define what belongs in raw/staging vs. conformed business entities vs. presentation-layer facts and dimensions.
Build and maintain dimensional models (fact/dimension design, SCD Type 1/2 strategy, surrogate vs. natural keys, conformed dimensions across business units) for reporting and analytics consumption.
Partner with data engineers to translate models into dbt sources, staging models, and marts, and review PRs for adherence to modeling and naming standards.
Define and maintain the enterprise data dictionary, entity relationship documentation, and column-level metadata (business definitions, valid values, data lineage) for midstream subject areas.
Evaluate source systems ingested via Informatica IDMC/CDIR and dbt, and model how they reconcile into a single conformed view.
Lead data model reviews with business stakeholders (commercial, scheduling, accounting, regulatory) to validate that models correctly represent contracts, allocations, and volumetric relationships.
Support master data management for core midstream reference entities (assets, meters/measurement points, contracts, counterparties, tariff schedules).
Contribute to data governance: naming conventions, modeling standards, data quality rules, and stewardship processes.
Assess the impact of new data sources or business changes (new pipeline systems, acquisitions, regulatory changes) on existing models and propose schema evolution strategies that avoid breaking downstream consumers.
Required Qualifications
5+ years of data modeling experience (conceptual, logical, phys…
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