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Jobs · Information Technology · Colorado

Senior Manager, Data Management and Operations

EchoStar Corporation · Englewood, CO · 1 mo ago
On-siteInformation Technology$127k/yrFull-time

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

Skills, Experience And Requirements

  • Core Skills and Competencies (What you'll bring): 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 Requirements

  • 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

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.

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