Data Engineer, Operations Analytics

Rowan Digital Infrastructure, Denver, CO Office +1

The role

The Data Engineer, Operations Analytics builds the data platform, pipelines, data standards, and quality controls that make the team’s data reliable. Working alongside the Data Scientist, this role owns the data from the agreed handoff point through to curated, analysis-ready tables. The role reports to the Director, Operations Analytics.

This role partners closely with the Data Scientist, IT, vendor partners, Operations, and Compliance to make sure reliable data is in place before the first turnkey solution in mid-2027, which will add new data sources and users. As the team grows, it also gives the Reporting Lead and Business Analysts documented standards and curated tables to build on. As a second owner of the analytics workspace, the position reduces dependence on any one person, keeps the platform supportable through shared change control and documentation, and supports audit readiness. It also prepares and governs data for AI and language model use cases.

All jobs

Data Engineer, Operations Analytics

Rowan Digital Infrastructure, Denver, CO Office +1

The role

What you will do

Build and evolve the team’s data platform on Azure and Databricks, including ingestion, storage, and curated layers
Govern the workspace through Unity Catalog, including catalog and schema design, permissions, lineage, and data classification, so access is controlled and auditable as new users and data sources come online
Own ingestion into Databricks from the agreed handoff point with vendor partners and IT, and review upstream building and facility data platform work
Design, build, test, and monitor production pipelines for power, cooling, equipment, and monitoring data, and scale them as new data sources and users come online
Define and maintain a reference data standard and data dictionary, including consistent naming for sites, assets, equipment, and vendors, documented so new team members can onboard quickly
Build data quality checks, monitoring, alerts, and runbooks so issues are detected and resolved quickly
Publish and maintain curated tables that serve models, Tableau scorecards, and KPIs so every report and model draws on the same trusted data
Partner with the Data Scientist to build and maintain Genie spaces and LLM-powered tools, including the curated tables, metadata, table and column descriptions, and certified queries they depend on
Prepare and maintain data for AI and language model use cases, such as document and text ingestion, vector search indexes, and retrieval pipelines, held to the same quality and change control standards as other production data
Serve as second owner of the Databricks workspace and co-own change control with the Data Scientist, including code review and separate development and production environments
Partner with the Data Scientist, Operations, Reliability, Engineering, and IT teams, and with the Reporting Lead and Business Analysts as they join, to align data structures with modeling, reporting, and operational needs
Create repeatable exports of platform evidence, such as access and activity logs, to support audits and the Compliance Analyst

Data Engineer, Operations Analytics

The role

Data Engineer, Operations Analytics

The role

What you will do

What you need

Fueled by Excellence & Collaboration

About Rowan Digital Infrastructure

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