Manager, Data Management and Operations
Role details
Job location
Tech stack
Job description
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 . Managing and scaling distributed data architectures while maintaining cloud cost-efficiency represents a major modern operational challenge. This role directly addresses these complexities by leading the development, deployment, and optimization of robust cloud data platforms. By directing collaborative, cross-functional engineering teams across both on-site and offshore locations, the manager ensures stable real-time data flow and rapid issue resolution. This position is central to transforming raw business requirements into performant, automated data integration pipelines. What Success Looks Like (Objectives):
- Lead the operations and delivery of big data solutions using modern cloud data platforms
- Manage day-to-day development activities for new data solutions and troubleshoot existing production implementations
- Coordinate with product owners and technical leads to resolve architectural and integration issues
- Optimize AWS and data warehouse configurations to improve performance and reduce operational cloud spend
- Design and implement automated CI/CD pipelines to streamline code deployments and pipeline reliability
- Integrate AI-driven operations tools to automate anomaly detection and predictive data quality checks, 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 ) HQ
Requirements
- Critical experience designing and building large-scale distributed big data pipelines
- Proven leadership managing and coordinating multi-site and offshore production support operations
- Strong technical capability in developing ingestion and curation pipelines using Databricks
- Proficiency in software engineering principles using Spark, Python, or Scala
- Deep understanding of database management systems, version control, and CI/CD concepts
- Practical AI application skills to automate and optimize data management tasks
Additional Qualifications:
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Experience with change data capture tools such as Qlik or Goldengate
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Familiarity with scheduling tools such as Control-M, Airflow, or AWS Step Functions
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Knowledge of Infrastructure-as-Code using Terraform or AWS CloudFormation, * Minimum Education: Bachelor's Degree in Computer Science, Information Technology, or a related field
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Minimum Experience: 5 years of experience in distributed data engineering; 3 years of experience leading on-site or offshore teams
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Required Technical Skills: Must have at least 2 years of experience with:
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AWS cloud infrastructure optimization
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Spark, Python, or Scala programming
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Kafka, Apache Flink, or real-time streaming tools
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Git and GitLab version control pipelines
Benefits & conditions
Be an Early Applicant In-Office Englewood, CO, USA 127K-182K Annually Senior level In-Office Englewood, CO, USA 127K-182K Annually Senior level Lead and scale cloud-based distributed data platforms and real-time data pipelines. Manage cross-functional on-site and offshore teams to deliver, troubleshoot, and optimize ingestion, curation, and streaming solutions. Improve AWS and data warehouse performance and cost, implement CI/CD for reliable deployments, and integrate AI-driven ops for anomaly detection and predictive data quality., 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 .