Senior Data Architect

Posted Yesterday
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Englewood, CO, USA
In-Office
127K-182K Annually
Senior level
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Welcome to EchoStar
The Role
Designs and leads enterprise data architecture modernization across cloud and lakehouse environments. Responsibilities include data modeling, Medallion architecture, storage tiering, vector databases, RAG, semantic layers, query and compute optimization, governance, access controls, lineage, integration, and compliance. The role partners with architecture, engineering, and business teams to deliver scalable, secure, highly available data assets and supports AI initiatives.
Summary Generated by Built In
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 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.


Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview.

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

Skills, Experience and Requirements

Core Skills and Competencies (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

 

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 Ranges
Compensation: $127,050.00/Year - $181,500.00/Year
Benefits

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.

 

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.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

Skills Required

  • Bachelor's degree in a technical discipline, preferably Computer Science or Software Engineering, or equivalent education and experience
  • 10 years of continuous data architecture and data modeling experience
  • At least 3 recent years leading primary data architecture design and implementation in a VLDB or MPP environment
  • 2 years of experience with Azure, AWS, or GCP cloud environments
  • 1 year of experience with Databricks and Genie and/or Snowflake and Cortex
  • 1 year of experience with orchestration tools such as Apache Airflow or Control-M
  • Experience with unstructured data frameworks, vector databases, and Retrieval-Augmented Generation
  • Experience designing multi-tier enterprise data structures, Medallion patterns, and high-performance data lakehouse architectures
  • Strong data modeling, schema design, and versioning experience in multi-modeler repository environments
  • Experience with cloud warehouse cost optimization, cluster compute tuning, and query performance enhancement
  • Expertise in data governance, fine-grained access control, data lineage, and compliance standards including CPNI, CCPA, and SOC 2
  • Snowflake Certified Architect, Databricks Professional, or AWS Data Engineer certification

What the Team is Saying

Lynea
James
Ashante
Ali
Whitney
William
Seth
Mac
Katie Flynn

EchoStar Compensation & Benefits Highlights

  • Retirement Support — Retirement offerings include a 401(k) with company match and discretionary profit sharing that are prominently featured. Feedback suggests the 401(k) is regarded as standard-to-reasonable, adding tangible long‑term value.
  • Equity Value & Accessibility — An Employee Stock Purchase Program with a 15% discount is widely available and emphasized. Feedback suggests this ownership opportunity is a notable perk within the total rewards mix.
  • Wellbeing & Lifestyle Benefits — A broad slate of perks—tuition reimbursement up to $5,000/year, product discounts, HSA/FSA options with company HSA contributions, and counseling sessions—expands the package beyond core insurance. Feedback suggests the breadth is appealing even if individual benefits vary in impact.

EchoStar Insights

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The Company
HQ: Englewood, CO
14,500 Employees
Year Founded: 1980

What We Do

Tune into the innovation, collaboration and culture that our team members bring to the office every day. We want you to be a part of our journey to build the next generation of technology that transforms the way the world communicates. Our team members are the key to our history of groundbreaking innovation and our continued progress. If you bring an inquisitive curiosity, a sense of pride in your work, an openness to adventure and a drive to win, we’ll provide the structure to take the next step in your career. This is more than just another job, this is your launchpad to achieve your potential and a community dedicated to your growth.

Why Work With Us

At EchoStar, we work to create opportunity and cultivate an environment where people thrive. Between our brands, our partners, our teams and our customers, the opportunities are endless. Get started on your next career adventure with EchoStar!

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EchoStar Offices

OnSite Workspace

All team members are in person at one of our locations across the globe. We proudly call Colorado home with several corporate offices in the Denver-Metro area and 4,000+ team members in the Denver-Metro area.

Typical time on-site: None
Company Office Image
HQCorporate Headquarters - Meridian
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DISH Network Technologies
Centennial, US
Cheyenne, US
Company Office Image
Downtown Denver Office - DGC
Company Office Image
EchoStar & Hughes
Company Office Image
Hyderabad Office
Company Office Image
Wireless Headquarters - Riverfront
Company Office Image
DISH Network Technologies India Pvt. Ltd
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