Senior Manager, Data Management and Operations

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, 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.

• 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:

• Experience with change data capture tools such as Qlik or Goldengate
• Familiarity with scheduling tools such as Control-M, Airflow, or AWS Step Functions
• Knowledge of Infrastructure-as-Code using Terraform or AWS CloudFormation, * Minimum Education: Bachelor's Degree in Computer Science, Information Technology, or a related field
• Minimum Experience: 5 years of experience in distributed data engineering; 3 years of experience leading on-site or offshore teams
• Required Technical Skills: Must have at least 2 years of experience with:
• AWS cloud infrastructure optimization
• Spark, Python, or Scala programming
• Kafka, Apache Flink, or real-time streaming tools
• Git and GitLab version control pipelines

Salary: $127050 - $181500/Yearly, 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 (https://www.echostar.com/careers/life-at-echostar#benefits) .

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. 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.