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Sr. Manager, SKU Data Management at Comcast (Philadelphia, PA)

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.

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences and now, we're going wireless. We're completely rethinking the end-to-end mobile experience with Xfinity Mobile. Xfinity Mobile will leverage Comcast's 27M subscriber relationships, 15M+ WiFi hotspots, and the award-winning X1 Entertainment OS to deliver a simple and elegant mobile experience. At Comcast, we're innovating everything. Surprising our users with an awesome experience is critical to our success. Xfinity Mobile is delivering a superior network, leveraging our 15M+ WiFi hotspots, for less money. And we're delivering a simpler solution for Internet Entertainment at home and on the go. We are re-examining the customer experience from the ground up-and that includes how we market and price Xfinity Mobile.

The Senior Manager, SKU Data Management will support automating operational data transformations, data reconciliation, implementing and supporting a data governance program, establish and operationalize trusted source of truth for key data sets, support analytics and visualization efforts and help mine for intelligence in response to ad-hoc management queries.

This role will have a strong understanding of business process and data, while applying their technical expertise with data management to-anticipate and reduce business disruptions, optimize the overall cost of doing business by determining and eliminating waste in process, accurately track and report on KPIs around supply chain process efficiency, inventory management, sales, care and related operations.


  • Provide thought leadership and drive architecture and the design of Big Data Information Management & Analytics solutions. This role will demonstrate the understanding of concepts, best practices and functions to implement a Big Data stack in a regulated enterprise setting with the goal of improving service, reducing costs, and increasing revenues with business partners and vendors.
  • Work closely with business end users and business leaders to Translate product and customer requirements into engineering plans including architecture and design documents.
  • Hands-on engagement with technical team to help troubleshoot any technical issues or help code capabilities when capacity constraint calls for it.
  • Support customers on any data quality related issues, manage customer expectations and establish a "trusted business partner" position.
  • Design, implement and maintain the Hadoop Platform and various associated components for data ingestion, transformation and processing. This includes operational support of the automation developed on the platform to resolve any performance, data quality, code or design related issues.
  • Work with architects and engineering team members to deliver high level or certified (detailed) estimates
  • Ensure data quality and accuracy by implementing business and technical reconciliations via scripts and data analysis.
  • Analyze multiple sources of structured and unstructured data to propose and design data architecture solutions for scalability, high availability, fault tolerance, and elasticity.
  • Provide and maintain documentation for all developed objects and processes, in adherence to strict timelines.
  • Oversee and perform testing of all team deliverables before any release to production, to ensure the quality of code and integrity.
  • Use of all appropriate services available in the Hadoop distribution e.g. for source code control, DevOps automation, testing and deployment-to build an enterprise scale ETL environment, that can scale with business while providing robust, reliable data management services.
  • Follow data / integration design patterns and architecture as prescribed by enterprise architects. Ensure adherence of the same by the team members. Work with enterprise architects to enhance the design patterns as per evolving requirements.
  • Supports new initiatives and recommends architecture solutions to scale as organization grows to take on new business.
  • Implement security, encryption best practices for Big Data environments.
  • Manage, mentor, train and motivate other engineers. This includes helping team members with their assigned goals & deliverables, career progression, soft skills development, enhancing team morale and employee satisfaction.
  • Collaborate with other teams on cross-team designs and execution plans.
  • Supports in performance reviews and determines professional development needs and opportunities for staff.
  • Oversee the team's architecture and technical designs. Give technical feedback on architecture, design documents and drive quality via code reviews.

Qualifications and Skills:

  • MS / BS degree in Computer Science, Mathematics, Engineering or related field. 10+ years of experience as a technology leader designing and developing data architecture solutions with more than 3+ years specializing in big data architecture and data analytics.
  • At least 3 years' experience in designing, reviewing, implementing and optimizing data transformation processes on a Hadoop platform. Ability to consolidate, validate, cleanse and land data from a vast range of sources from applications and databases to files and Web services. Experience designing and implementing fast and efficient data acquisition using Big Data processing techniques and tools.
  • At least 3 years' experience coding in Python / Spark environment. Experience using the Spark framework to code ETL, data transformation and data automation jobs using PySpark.
  • Experience in big data platforms like Cloudera, Hortonworks, MapR or AWS EMR. Preferred relevant Big data engineering certification on Cloudera, Hortonworks or AWS EMR.
  • Experience writing complex stored procedures and SQL queries for ad-hoc analysis as well as data transformation automation. Experience working on NoSQL as well as traditional RDBMS databases query / stored procedure development, query performance tuning & optimization.
  • Experience working on Hive / HiveQL. Strong, in-depth experience in data modeling, warehouse design.
  • Experience with Hadoop cluster scaling and performance optimization to maintain service levels as the organization grows.
  • Strong leadership and management skills and ability to communicate effectively with technology experts from various computing domains-BI, analytics, SOA, BPM, data warehousing.
  • Experience working in an Agile environment, using methodologies like Scrum.
  • Experience within mobile, wireless and/or consumer electronics space is highly desirable.

Comcast is an EOE/Veterans/Disabled/LGBT employer

by via developer jobs - Stack Overflow

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