Sr. Director, Data Engineering & Operations

Comcast • Philadelphia, PA

1d

About The Position

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 Leads multiple data engineering teams to design, build, and operate scalable data platforms and pipelines for structured and unstructured data across cloud and on-prem environments. Establishes processes and standards for ingestion, transformation, lineage, security, and data quality, leveraging AI/ML and big-data techniques to automate and protect data integrity. Partners with business and technology stakeholders to translate requirements into architecture and platform choices, recommending upgrades and ensuring compatibility across systems. Owns program delivery (scope, quality, budget, schedule) and contributes to organizational strategy and objectives.

Requirements

• Snowflake
• Databricks
• AWS (S3, Redshift)
• Teradata
• Kubernetes
• minIO
• SQL/Python
• API-based data access
• AI/ML (including GenAI) for data quality and automation
• data warehousing/lakehouse, governance and lineage
• Understand our Operating Principles; make them the guidelines for how you do your job.
• Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
• Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
• Win as a team - make big things happen by working together and being open to new ideas.
• Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
• Drive results and growth.
• Support a culture of inclusion in how you work and lead.
• Do what's right for each other, our customers, investors and our communities.
• Bachelor's Degree (Required)
• 10 Years +

Responsibilities

• Manages development of data structures and pipelines aligned to established standards and guidelines to organize, collect, standardize and transform data that helps generate insights and address reporting needs.
• Emphasizes data quality during ingest, processing as well as final load to the target tables.
• Guides creation of standard ingestion frameworks for structured and unstructured data as well as checking and reporting on the quality of the data being processed.
• Manages creation of standard methods for end users / downstream applications to consume data including but not limited to database views, extracts and Application Programming Interfaces.
• Manages the creation and maintenance of information systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces.
• Oversees the implementation of solutions via data architecture, data engineering, or data manipulation on both on-prem platforms like Kubernetes and Teradata as well as Cloud platforms like Databricks.
• Advises on the appropriate storage platform across different on-prem (minIO and Teradata) and Cloud (AWS S3, Redshift) depending on the privacy, access and sensitivity requirements.
• Educates team on data lineage from source to the final semantic layer along with the transformation rules applied to enable faster troubleshooting and impact analysis during changes.
• Collaborates with technology and platform management partners to optimize data sourcing and processing rules to ensure appropriate data quality as well as process optimization.
• Oversees design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements.
• Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs.
• Develops strategies for data acquisition, archive recovery, and database implementation.
• Manages data migrations/conversions and troubleshooting data processing issues.
• Understands the data sensitivity, customer data privacy rules and regulations and applies them consistently in all Information Lifecycle Management activities.
• Guides critical issue resolution and shares knowledge such as trends, aggregate, quantity volume regarding specific data sources.
• Consistent exercise of independent judgment and discretion in matters of significance.
• Regular, consistent and punctual attendance.
• Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.
• Other duties and responsibilities as assigned.

Benefits

• We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life.
• Please visit the benefits summary on our careers site for more details.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Number of Employees: 5,001-10,000 employees