Data Platform Engineer - Azure/Databricks & AI Readiness

Rowan Digital Infrastructure Pty Ltd; Denver (CO); Híbrido; USD 108.000 - 125.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid working environment

Team building and educational opportun

Generous benefits package including 健康

Unlimited PTO

Relocation assistance on case-by-case

RTD ECO pass or parking reimbursement

Competitive compensation, bonus and an

Descripción de la vacante

Rowan Digital Infrastructure seeks a Data Engineer, Operations Analytics, to build and govern the data platform that enables AI-ready analytics for hyperscale data center projects in the United States. You will own data from handoff to curated, analysis-ready tables, collaborating with Data Scientists, IT, and vendors to ensure reliable data before the first turnkey solution in mid-2027.

The role requires 3+ years in data engineering, experience with Databricks (SQL, Python, Spark), and strong

Formación

• Bachelor’s or Master’s in CS/IS/Engineering or related field, or equivalent practical experience.
• 3+ years of experience in data engineering, analytics engineering, or a related data platform role.
• Hands-on experience building data platforms and 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.
• Preferred familiarity with Databricks, AI/BI Genie, Vector Search, Model Serving, Tableau, and Airtable.
• Preferred experience with data center, industrial, or building systems data.

Responsabilidades

• Build and evolve the 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

Conocimientos

SQL

Python

Spark

Data modeling

Documentation

Stakeholder communication

AI/LLM collaboration

Educación

Bachelor’s or Master’s degree in CS/IS/Engineering

Herramientas

Databricks

Azure

Tableau

Airtable

Genie AI

Vector search indexes

Descripción del empleo

Rowan Digital Infrastructure seeks a Data Engineer, Operations Analytics, to build and govern the data platform that enables AI-ready analytics for hyperscale data center projects in the United States. You will own data from handoff to curated, analysis-ready tables, collaborating with Data Scientists, IT, and vendors to ensure reliable data before the first turnkey solution in mid-2027.

The role requires 3+ years in data engineering, experience with Databricks (SQL, Python, Spark), and strong