Comcast
media and technology
DataEngineeringManager
Neural analysis suggests this role is
optimal for Manager candidates.
“Data Engineering Manager at Comcast. Skills: Data Engineering, Data Pipelines, Data Warehousing, Management. Direct creation and management of data engineering frameworks. Ensure operational alignment with business objectives”
Industry & Context.
Troubleshooting; Problem-solving skills
Must be able to work nights and weekends, variable schedule(s) as necessary, Lead DevOps teams in rotational team shifts (12x7, wherever required)
What They're Looking For.
Must Have
10 + years of experience working with Big Data ecosystems, 8 + years of experience in end‑end data engineering in building reliable data products, 4 + years of experience in project delivery management, CI/CD implementation, AI acceleration / AI‑assisted engineering, Enterprise data lake and data warehouse platforms, managing managers and senior-level engineers, Agile delivery frameworks, architectural design principles and patterns, large-scale, complex, enterprise initiatives
Nice to Have
Bachelor's Degree
What You'll Do.
Direct creation and management of data engineering frameworks
Ensure operational alignment with business objectives
Oversee implementation of robust data systems
Contribute to functional strategy
Influence decision-making
Architect scalable data pipelines
Champion data integrity
Lead design of data access points
Direct maintenance of data storage systems
Advise on data storage selection
Foster team understanding of data lineage
Collaborate with cross-functional leaders
Develop data acquisition strategies
Guide critical issue resolution
Apply data privacy rules
Own end-to-end delivery
Take accountability for solution delivery
Lead data lake implementations
Lead data warehouse implementations
Accelerate solutions using AI/ML
Ensure adherence to modern architectural patterns
Supervise teams to deliver implementations
Manage and mentor managers
Manage and mentor senior engineers
Mentor individual career growth
Plan and align team priorities
Exercise independent judgment
Lead teams using Agile methodologies
Drive process improvement
Collaborate with product development teams
Maintain proactive stakeholder management
Build trusted relationships
How You'll Work.
Team & Collaboration
Collaborate with cross-functional leaders; Collaborate closely with product development teams; Build trusted relationships across engineering, product, and executive leadership; Win as a team
Communication Scope
Communicating risks; Communicating progress; Communicating outcomes
Process & Methodology
Project delivery management, Manage managers, Manage senior engineers, Plan and align team priorities, Organize time, priorities, and dependencies
Full Job Description
Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. **Job Summary** This job directs the creation and management of data engineering frameworks, emphasizing quality and efficiency in data gathering and transformation. It ensures operational alignment with business objectives and oversees the implementation of robust data systems. The role contributes to functional strategy and influences decision-making through advanced data management practices. **Job Description** **Responsibilities:** * Architecting scalable data pipelines and structures, ensuring compliance with standards for insight generation and reporting functionalities * Championing data integrity throughout ingestion and transformation processes, establishing frameworks for consistent data quality management * Leading the design of data access points for users and systems, including APIs, database views, and data extracts * Directing the maintenance and evolution of data storage systems, such as data lakes and warehouses, optimizing for accessibility and performance * Advising on data storage selection across diverse platforms, balancing requirements for privacy, accessibility, and data sensitivity * Fostering team understanding of data lineage and transformations to expedite troubleshooting and impact assessments during data changes * Collaborating with cross-functional lead
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