Senior Manager, Data Management and Operations
US-CO-Englewood
Attract-careers1
Req #: 100010
Type: Fulltime-Regular
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Overview: 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. 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 Qualifications: 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
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