EchoStar is seeking an experienced AI/Platform Ops Engineer to take ownership of critical platform operations and drive engineering excellence across the Databricks environment. The position leads platform reliability initiatives, architects automation solutions, and serves as a technical authority on Databricks administration, Unity Catalog governance, and CI/CD pipeline development. Additionally, the role collaborates closely with cross-functional stakeholders to integrate Model Context Protocol (MCP) server frameworks, enabling AI agent connectivity while ensuring performance, security, and scalability across enterprise data platforms.
What Success Looks Like (Objectives):- Lead end-to-end platform operations and workspace administration for Databricks to maximize reliability and performance
- Architect and implement automated CI/CD pipelines using Databricks Asset Bundles (DABs), GitHub Actions, and Terraform for seamless workspace provisioning
- Drive organization-wide Unity Catalog adoption by establishing metastore configurations, tagging strategies, and access policy frameworks
- Design and deploy Model Context Protocol (MCP) server integrations to safely connect enterprise data platforms with AI agent ecosystems
- Establish self-service automation tools, operational standards, and cost optimization practices to reduce intake friction and resource overhead
Core Skills, Competencies, and Key Experiences (What you'll bring)- Deep expertise in Databricks platform administration, Delta Lake architectures, and Unity Catalog governance frameworks
- Advanced proficiency with Infrastructure-as-Code tools, CI/CD pipeline development, and cloud infrastructure management using Terraform, Git, and AWS
- Strong AI Application and Literacy skills, including hands-on familiarity with Model Context Protocol (MCP) server integrations and MLOps practices
- Demonstrated ability to lead incident response efforts, execute root cause analyses, and drive continuous improvement through blameless post-mortems
- Excellent technical leadership, cross-functional collaboration, and communication abilities to mentor engineering teams and influence architecture decisions
Additional Qualifications:- Active Databricks certifications, such as Data Engineer Associate/Professional or Platform Administrator
- Background in enterprise observability solutions using Dynatrace along with project tracking via Jira and Confluence
Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.Minimum Requirements:- Minimum Education: Bachelor's Degree in Computer Science, Information Technology, or a related field
- Minimum Experience: 5+ years of experience in platform engineering, DevOps, or cloud operations roles
- Required Technical Skills: Must have at least 3 years of experience with:
- Databricks production administration and workspace management
- Unity Catalog setup, metastore configuration, and access control enforcement
- Terraform and CI/CD automation for cloud or data platform deployments
Visa sponsorship not available for this role
Salary RangeCompensation: $116,875.00/Year - $158,125.00/Year
About Our DepartmentOur Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.
BenefitsWe offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change.
This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled.
