R

Rowan Digital Infrastructure

Sustainable data center development for hyperscale

Data Engineer - Operations Analytics

Data EngineeringUpdated on Nov 5
Full-time

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
  • At least 3 years of experience in data engineering, analytics engineering, or a related data platform role.
  • Hands-on experience building data platforms and operating production pipelines in Databricks using SQL, Python, and Spark.
  • Experience with Azure data and cloud services, including storage, networking, and identity concepts.
  • Experience using AI-assisted development tools such as Claude Code to build, review, and document code.
  • Experience with data modeling, data quality monitoring, and change control practices such as code review and separate development and production environments.
  • Experience with complex operational datasets, including time-series or telemetry data.
  • Ability to document standards clearly and communicate with technical and non-technical stakeholders.
  • Experience building data pipelines for AI and LLM applications, such as document parsing and chunking, embedding generation, vector search indexes, and retrieval evaluation.

Responsibilities

  • 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.

Desired Qualifications

  • Preferred familiarity with Databricks, AI/BI Genie, Vector Search, Model Serving, Tableau, and Airtable.
  • Preferred experience with data center, industrial, or building systems data.

About the Company

Rowan Digital Infrastructure

Sustainable data center development for hyperscale

Rowan Digital Infrastructure builds sustainable data center campuses in the United States for hyperscale AI and cloud clients, offering powered shells and turnkey build-to-suit campuses. It manages the entire development lifecycle—from site selection and land acquisition to power procurement, permitting, design, and construction—to de-risk and accelerate delivery. The projects emphasize sustainability, pursuing high-performance standards like BREEAM and LEED, with energy procurement, water conservation, and lifecycle carbon assessments guiding decisions. The goal is to scale data center capacity for major customers while helping them meet carbon-reduction targets, supported by significant financing from investors such as Quinbrook and Blackstone.

Company size
201-500
Company stage
N/A
Total funding
$4.9B
Headquarters
Denver, CO
Founded
2020

Recently Posted Jobs

Explore more opportunities at Rowan Digital Infrastructure

See more jobs