Senior AI Platform Ops Engineer

• 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

• 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 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

We 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.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.