About this opportunity
Associate Staffing lists this Senior AI Platform Ops Engineer opportunity in englewood, Colorado. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Senior AI Platform Ops Engineer (Databricks on AWS | Enterprise AI Enablement) Overview Join an enterprise data and AI platform team where you’ll drive the onboarding of new teams, data domains, and workloads onto a Databricks platform on AWS. In this senior, hands-on role, you’ll set the technical patterns others follow—building secure integrations to external data sources, establishing Unity Catalog governance at scale, operationalizing Databricks-native AI capabilities (including Genie and Mosaic AI), and implementing cost attribution practices that enable smarter engineering decisions. This is an individual contributor role with meaningful technical leadership and cross-functional influence.
While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.
Required Skills Databricks production administration (Unity Catalog, Delta Lake design, cluster configuration, job orchestration)
Python + SQL + PySpark for reliable, scalable pipeline development
AWS platform fundamentals (IAM, S3, VPC) and ability to contribute to Terraform
Data governance implementation at scale (metadata standards, classification, lineage)
Platform operations and cost attribution/chargeback for usage-based environments
Nice to Have Skills Databricks-native AI experience (Genie, Mosaic AI) or similar platform AI tooling
LLM enablement experience (RAG, vector search, agent frameworks, LLM-driven workflows)
CI/CD for Databricks deployments (Terraform, Asset Bundles, GitLab)
Databricks certifications (Data Engineering, Platform Administration, Machine Learning)
FinOps familiarity (cost allocation reporting, optimization practices)
Preferred Education and Experience Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related technical field (or equivalent practical experience)
5+ years in data engineering, platform engineering, or cloud data roles
3+ years of hands-on Databricks production environment management
Other Requirements Must be willing to participate in at least one in-person interview
If you’re ready to lead enterprise-scale Databricks onboarding, governance, and AI enablement with real ownership and impact, apply today to start the conversation. xqrzhdi
Associate Staffing is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. We are committed to creating a diverse and inclusive work environment and welcome applicants from all backgrounds to apply for open positions with our company.
Worksite address
englewood, CO, 80151, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.