Senior AI Platform Engineer
Role details
Job location
Tech stack
Job description
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 configurations
- Execute seamless integrations for external enterprise data sources to enable high-impact analytics and governed AI use cases
- Deploy Databricks-native AI capabilities, including Genie and Mosaic AI, to ensure innovative solutions are practical and supportable
- Enforce enterprise-wide standards for metadata, Unity Catalog registration, and data lineage to maintain high data integrity
- Establish transparent financial accountability through robust chargeback practices and usage-aligned cost allocation reporting
- Design reusable automation templates and self-service patterns that reduce manual friction for onboarding common data products
Requirements
Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session., * Technical expertise in the Databricks production ecosystem, specifically regarding Delta Lake and Unity Catalog architecture
- Python, SQL, and PySpark for designing resilient and sophisticated data engineering pipelines
- Conceptual knowledge of AI Innovation, including the practical application of LLM-driven workflows and vector search patterns
- Experience in cloud platform governance, focusing on security standards, access controls, and auditability within AWS
- Professional aptitude for FinOps and platform cost management to ensure long-term financial sustainability of technical workloads
- Strong collaborative communication abilities to translate complex technical requirements for both engineering teams and business stakeholders, * Experience with LLM application design, including retrieval-augmented generation and agent frameworks.
- Proficiency in CI/CD for Databricks deployments using Terraform, Asset Bundles, or GitLab
- Active Databricks certifications in Data Engineering, Platform Administration, or Machine Learning, * Minimum 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 management
- Proficiency in Python and PySpark for data pipeline design
- Proven experience implementing Unity Catalog and governance controls at scale
Benefits & conditions
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed 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 based on work location.
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.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.