Senior Data Architect
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Sep 30, 2026.
Modernizing and scaling enterprise data infrastructure requires sophisticated architecture that bridges traditional data modeling with contemporary lakehouse frameworks. This role resolves complex data fragmentation, storage tiering inefficiencies, and compute cost overruns across cloud environments to establish performant, enterprise-grade data assets. Crucially, this work unlocks advanced AI capabilities by designing architectures for unstructured data, vector databases, Retrieval-Augmented Generation (RAG), and semantic layers. Through cross-functional governance and technical leadership, enterprise data assets become securely managed, highly scalable, and fully aligned with strategic goals.
What Success Looks Like (Objectives):
- Establish and maintain corporate data model design principles; integrating Kimball and Inmon methodologies with Medallion Lakehouse patterns to deliver performant data assets
- Architect scalable frameworks and storage tiering to support AI initiatives; including vector databases, Retrieval-Augmented Generation (RAG), and enterprise semantic layers
- Lead efforts in optimizing query execution, cluster compute, and cloud warehouse costs across enterprise platforms
- Partner with enterprise architects, data engineering, and business analysis teams to enforce data governance standards and execute data SDLC phases
- Define data integration solutions and mitigate infrastructure risks to deliver scalable, highly available enterprise data architecture
Core Skills, Competencies, and Key Experiences (What you’ll bring)
- Advanced AI Application expertise; leveraging unstructured data frameworks, vector databases, and Retrieval-Augmented Generation (RAG) within modern data architectures
- Critical experience in designing multi-tier enterprise data structures, Medallion patterns, and high-performance data lakehouse architectures
- Strong skills in data modeling, schema design, and versioning within multi-modeler repository environments
- Critical experience in cloud warehouse cost optimization, cluster compute tuning, and query performance enhancement
- Expertise in data governance, fine-grained access control (ABAC), data lineage, and compliance standards such as CPNI, CCPA, and SOC2
- Exceptional problem solving, collaboration, and cross-functional decision-making capabilities across technical and business stakeholders
Additional Qualifications:
- Preferred industry certifications including Snowflake Certified Architect, Databricks Professional, or AWS Data Engineer
Candidates must be willing to participate in at least one in-person interview.
Minimum Requirements:
- Minimum Education: Bachelor's degree in a technical discipline, preferably in Computer Science or Software Engineering, or equivalent combination of education and experience
- Minimum Experience: 10 years of continuous data architecture and data modeling experience; with at least 3 recent years leading primary data architecture design and implementation in a VLDB / MPP environment
- Required Technical Skills:
- 2 years of experience with Azure, AWS, or GCP cloud environments
- 1 year of experience with Databricks & Genie and/or Snowflake & Cortex
- 1 year of experience with orchestration tools such as Apache Airflow or Control-M
Visa sponsorship not available for this position
Salary Range
Compensation: $127,050.00/Year - $181,500.00/Year
About Our Department
Our Wireless Technology team is pioneering the future of connectivity. We're developing and enhancing a unique hybrid network model-combining our advanced, cloud-native 5G core with the nationwide reach of our partners. This approach ensures our network is flexible and powerful, designed to satisfy the social, economic, and transformative needs of the changing world.
About Our Company
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.
Benefits
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.
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.
We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact [email protected] if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email [email protected].
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English / Spanish)
- Establish and maintain corporate data model design principles; integrating Kimball and Inmon methodologies with Medallion Lakehouse patterns to deliver performant data assets
- Architect scalable frameworks and storage tiering to support AI initiatives; including vector databases, Retrieval-Augmented Generation (RAG), and enterprise semantic layers
- Lead efforts in optimizing query execution, cluster compute, and cloud warehouse costs across enterprise platforms
- Partner with enterprise architects, data engineering, and business analysis teams to enforce data governance standards and execute data SDLC phases
- Define data integration solutions and mitigate infrastructure risks to deliver scalable, highly available enterprise data architecture
- Advanced AI Application expertise; leveraging unstructured data frameworks, vector databases, and Retrieval-Augmented Generation (RAG) within modern data architectures
- Critical experience in designing multi-tier enterprise data structures, Medallion patterns, and high-performance data lakehouse architectures
- Strong skills in data modeling, schema design, and versioning within multi-modeler repository environments
- Critical experience in cloud warehouse cost optimization, cluster compute tuning, and query performance enhancement
- Expertise in data governance, fine-grained access control (ABAC), data lineage, and compliance standards such as CPNI, CCPA, and SOC2
- Exceptional problem solving, collaboration, and cross-functional decision-making capabilities across technical and business stakeholders
Additional Qualifications:
- Preferred industry certifications including Snowflake Certified Architect, Databricks Professional, or AWS Data Engineer
Candidates must be willing to participate in at least one in-person interview.
Minimum Requirements:
- Minimum Education: Bachelor's degree in a technical discipline, preferably in Computer Science or Software Engineering, or equivalent combination of education and experience
- Minimum Experience: 10 years of continuous data architecture and data modeling experience; with at least 3 recent years leading primary data architecture design and implementation in a VLDB / MPP environment
- Required Technical Skills:
- 2 years of experience with Azure, AWS, or GCP cloud environments
- 1 year of experience with Databricks & Genie and/or Snowflake & Cortex
- 1 year of experience with orchestration tools such as Apache Airflow or Control-M
Visa sponsorship not available for this position