Executive Director, Software Development & Engineering

Comcast’s Technology, Product & Experience organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards. In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.

Job Summary

We are seeking a highly skilled and experienced leader to manage our DateBee Data Platform Engineering team. DataBee is a security data fabric that organizes security data into a single trusted source, enriched with business context, to allow security teams to make smart decisions fast. You will be responsible for overseeing the design, development, and maintenance of our data platform infrastructure, including data ingest, transformation, storage, processing, and analytics. You will work closely with stakeholders across the organization to ensure that our data platform is scalable, reliable, secure, cost-effective, and that it meets the needs of our business. This role sits within the Technology, Product, and eXperience (TPX) unit of Comcast – the home for thousands of engineers building products and services which connect millions of people to the moments that matter. The role will report to the Vice President of Engineering for DataBee. The ideal candidate will focus not just on building awesome products, but on building an open and transparent culture that thrives on feedback.

Core Responsibilities

• Lead and manage teams of onshore and offshore data platform engineers, providing technical guidance and mentorship, and ensuring that projects are delivered on time and to a high standard.
• Evaluates overall work processes and standard procedures to ensure performance is to company and industry standards.
• Reviews and presents operating and capital budgets including forecasts of operations, development, testing and any specialized needs to senior management.
• Collaborate with stakeholders to understand business requirements and translate them into technical specifications for the data platform.
• Keep up-to-date with emerging trends and technologies in data platform engineering, and make recommendations for their adoption as appropriate.
• Identify opportunities for improvement in the data platform and implement solutions to address them.
• Stays knowledgeable of competition and important emerging technologies and standards.
• Develop and maintain the data platform infrastructure, ensuring that it is scalable, reliable, cost effective, fit-for-purpose, and secure.
• Continuously develops staff through ongoing training programs, operational procedures and policies and develops staff organizational and technical skills etc.
• Work with other teams within the organization, such as data science, analytics, and visualization, to ensure that the data platform meets their needs.
• Sets the reporting standards and then works with the Manager of Engineering to analyze reports for such issues as schedule completions for testing, spend levels for NRE costs, yearly license costs etc.
• Oversees operations and ensures business strategies and objectives are being met in a structured and concise manner. Delivers strategies and objectives within the department and across the organization.
• Other duties and responsibilities as assigned.
• Develop and maintain documentation, policies, and procedures for the data platform.
• Consistent exercise of independent judgment and discretion in matters of significance.

Professional Experience & Qualifications

• Data Processing/Transformations: Vector (VRL), Kafka, Apache Spark, and or general ETL applications & approaches
• Cloud Data Table (Parquet) Formats: Iceberg, Delta, and/or Houdi
• Proven ability to work in a fast-paced, dynamic environment, with the flexibility to adapt to changing priorities and requirements.
• Observability / Monitoring: Data Dog, BetterStack (Logtail), Proetheus, and/or New Relic
• Strong communication and collaboration skills, with the ability to work effectively with stakeholders across the organization.
• Experience, knowledge, and/or familiarity with the following. Please note that we do not expect the ideal candidate to have experience with all of these technologies – but be familiar with these subjects to the degree required to lead expert team members
  • Data storage technologies, such as relational databases, NoSQL databases, and object stores.
  • DevOps: GitHub Actions, Llamda, Kubernetes, Go, Python, Teraform
  • Data Lakes/Warehouses: including large unstructured data sets with large data lakes (eg. SnowFlake, DataBricks, AWS Red Shift, Athena).
  • Cloud Data Table (Parquet) Formats: Iceberg, Delta, and/or Houdi
  • Cloud Data Management: S3, Glacier, Glue Catalog, and/or Azure Blob
  • Data Processing/Transformations: Vector (VRL), Kafka, Apache Spark, and or general ETL applications & approaches
  • Observability / Monitoring: Data Dog, BetterStack (Logtail), Proetheus, and/or New Relic
  • Data analytics tools and platforms, such as Tableau, Looker, and Power BI.
• DevOps: GitHub Actions, Llamda, Kubernetes, Go, Python, Teraform
• Experience leading and managing onshore and offshore data platform engineers.
• Cloud Data Management: S3, Glacier, Glue Catalog, and/or Azure Blob
• Data storage technologies, such as relational databases, NoSQL databases, and object stores.
• Data analytics tools and platforms, such as Tableau, Looker, and Power BI.
• Data Lakes/Warehouses: including large unstructured data sets with large data lakes (eg. SnowFlake, DataBricks, AWS Red Shift, Athena).

Employees at all levels are expected to:

• 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.
• 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.
• Respect and promote inclusion & diversity.
• Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
• Drive results and growth.
• Understand our Operating Principles; make them the guidelines for how you do your job.
• Do what's right for each other, our customers, investors and our communities.

Disclaimer:

• This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other basis protected by applicable law. Comcast will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law, including the Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance.

Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience

10 Years +

Salary:

Pay Range: $213,594.47 - $320,391.70

Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class 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 compensation and benefits summary on our careers site for more details.