Senior AI Platform Engineer

Company Summary 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. Department Summary Our 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. Job Duties and Responsibilities Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session. EchoStar is seeking a Senior Databricks AI Enablement Engineer to lead the technical onboarding of users, teams, and data domains onto the enterprise Databricks platform. This role is responsible for connecting external data sources, enabling governed AI and ML use cases, supporting Databricks Genie and related AI capabilities, and ensuring new workloads are onboarded with the right tagging, cost attribution, access controls, and operational standards. This is a hands-on engineering role for someone who understands how to make Databricks usable at scale. The right candidate can connect source systems, structure data for analytics and AI, guide users on platform capabilities, and enforce the governance and financial controls needed for enterprise adoption. What Success Looks Like (Objectives)Accelerate the technical onboarding of new users and business units by implementing standardized, scalable platform configurationsArchitect seamless integrations for external enterprise data sources to enable high-impact analytics and governed AI use casesDeploy Databricks-native AI capabilities, including Genie and Mosaic AI, to ensure innovative solutions are practical and supportableEnforce enterprise-wide standards for metadata, Unity Catalog registration, and data lineage to maintain high data integrityEstablish transparent financial accountability through robust chargeback practices and usage-aligned cost allocation reportingDesign reusable automation templates and self-service patterns that reduce manual friction for onboarding common data products Skills, Experience and Requirements Core Skills and Competencies (What you’ll bring)Advanced technical expertise in the Databricks production ecosystem, specifically regarding Delta Lake and Unity Catalog architectureMastery of Python, SQL, and PySpark for designing resilient and sophisticated data engineering pipelinesDeep conceptual knowledge of AI Innovation, including the practical application of LLM-driven workflows and vector search patternsCritical experience in cloud platform governance, focusing on security standards, access controls, and auditability within AWSProfessional aptitude for FinOps and platform cost management to ensure long-term financial sustainability of technical workloadsStrong collaborative communication abilities to translate complex technical requirements for both engineering teams and business stakeholdersAdditional QualificationsExperience with LLM application design, including retrieval-augmented generation and agent frameworks.Proficiency in CI/CD for Databricks deployments using Terraform, Asset Bundles, or GitLabActive Databricks certifications in Data Engineering, Platform Administration, or Machine LearningMinimum RequirementsMinimum Education: Bachelor’s Degree in Computer Science, Information Systems, Data Engineering, or a related technical field Minimum Experience:5 years of experience in data engineering, platform engineering, or cloud data roles Required Technical Skills: Experience with 3+ years of hands-on Databricks production environment managementProficiency in Python and PySpark for data pipeline designProven experience implementing Unity Catalog and governance controls at scaleVisa sponsorship not available for this role Salary Ranges