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Reston VA USA
Hybrid
Expert/Leader
Digital Media • Information Technology • News + Entertainment
Come to Comcast and bring connection to life.
The Role
Lead Data SRE responsible for ensuring reliability scalability and performance of data platforms. Design monitoring automate operations optimize performance respond to incidents plan capacity enforce security/compliance document systems and collaborate with engineering data science and product teams.
Summary Generated by Built In
FreeWheel a Comcast company provides comprehensive ad platforms for publishers advertisers and media buyers. Powered by premium video content robust data and advanced technology we're making it easier for buyers and sellers to transact across all screens data types and sales channels. As a global company we have offices in nine countries and can insert advertisements around the world.
Job Summary
FreeWheel is seeking an experienced Data SRE to join the FreeWheel Data SRE team. As a member of the Global Operation team you will be responsible for ensuring the reliability scalability and performance of our data systems. Working closely with data engineers and other operation sub-teams you will manage our data infrastructure optimize system reliability automate daily operations and resolve technical issues that impact our data pipelines and backend data platforms.
Job Description
Key Responsibilities:
System Monitoring and Optimization
Automation and Tool Development
Performance Optimization
Incident Response and Troubleshooting
Capacity Planning and Scaling
Documentation and Knowledge Sharing
Security and Compliance
Cross-Team Collaboration
Qualifications
Additional Preferred Skills
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 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 genetic information or any other basis protected by applicable law.
Skills:
Amazon Web Services (AWS); Apache Kafka; Python (Programming Language)
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 to eligible employees. 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.
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 +
Job Summary
FreeWheel is seeking an experienced Data SRE to join the FreeWheel Data SRE team. As a member of the Global Operation team you will be responsible for ensuring the reliability scalability and performance of our data systems. Working closely with data engineers and other operation sub-teams you will manage our data infrastructure optimize system reliability automate daily operations and resolve technical issues that impact our data pipelines and backend data platforms.
Job Description
Key Responsibilities:
System Monitoring and Optimization
- Design and implement monitoring and alerting systems to ensure the stability reliability and performance of data platforms.
- Quickly respond to and resolve issues impacting data pipelines or storage layers.
Automation and Tool Development
- Develop and maintain automation tools and scripts for deployment monitoring backup recovery and disaster recovery of data systems.
Performance Optimization
- Analyze and optimize the performance of data storage query performance and data flows.
- Ensure efficient processing of large-scale datasets.
- Reduce latency and improve processing speed.
Incident Response and Troubleshooting
- Respond quickly to data platform failures.
- Perform troubleshooting and coordinate cross-team efforts to resolve issues.
- Ensure high availability and reliability of data platforms.
Capacity Planning and Scaling
- Work with data engineering teams to analyze and forecast capacity requirements.
- Ensure systems can accommodate data growth and scale infrastructure accordingly.
Documentation and Knowledge Sharing
- Document the architecture configurations and operational procedures for data platforms.
- Share operational knowledge across the team and provide relevant training.
Security and Compliance
- Ensure data platforms meet security standards and compliance requirements.
- Prevent data breaches unauthorized access and misuse of data.
Cross-Team Collaboration
- Collaborate with data science product and development teams.
- Support data product design and implementation efforts.
- Resolve reliability-related issues and improve platform stability.
Qualifications
- At least 10+ years of experience as an SRE DevOps or Data Operations Engineer.
- Experience with cloud platforms (AWS GCP Azure).
- Familiarity with modern data architectures and technologies including Kafka Hadoop Spark Cassandra HDFS and AWS S3.
- Extensive experience in database management including NoSQL MySQL and PostgreSQL.
- Proficiency with Ansible Terraform Kubernetes and Docker.
- Programming skills in Python Go Java or Scala.
- Experience with Prometheus Grafana ELK Stack or similar tools.
- Strong troubleshooting and debugging skills.
- Excellent communication skills with technical and non-technical stakeholders.
- Education: Bachelor's degree or higher in Computer Science Software Engineering or a related field.
Additional Preferred Skills
- Experience with Aerospike Kafka Snowflake and other big data technologies.
- Familiarity with containerization microservices architecture and Kubernetes.
- Experience designing and maintaining large-scale distributed systems.
- Experience in data quality management data governance or ETL pipelines.
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 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 genetic information or any other basis protected by applicable law.
Skills:
Amazon Web Services (AWS); Apache Kafka; Python (Programming Language)
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 to eligible employees. 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.
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 +
Skills Required
- 10+ years experience as SRE DevOps or Data Operations Engineer
- Experience with cloud platforms (AWS GCP Azure)
- Familiarity with Kafka Hadoop Spark Cassandra HDFS AWS S3
- Extensive database management experience (NoSQL MySQL PostgreSQL)
- Proficiency with Ansible Terraform Kubernetes Docker
- Programming skills in Python Go Java or Scala
- Experience with Prometheus Grafana ELK Stack or similar monitoring/logging tools
- Strong troubleshooting and debugging skills
- Excellent communication with technical and non-technical stakeholders
- Bachelor's degree in Computer Science Software Engineering or related field
- Experience with Aerospike and Snowflake
- Experience designing and maintaining large-scale distributed systems
- Experience in data quality management data governance or ETL pipelines
What the Team is Saying
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Comcast Compensation & Benefits Highlights
- Healthcare Strength—Company-sponsored medical dental and vision coverage is paired with 24/7 virtual care and confidential counseling with additional wellness tools like the Calm app. This breadth points to a robust core health offering.
- Retirement Support—A 401(k) with a company match is highlighted as generous complemented by tuition reimbursement and access to financial coaching. Together these programs strengthen long-term financial security.
- Parental & Family Support—Paid parental leave for primary and non-primary caregivers plus fertility/family-forming coverage and adoption/surrogacy reimbursements indicate strong support for families. Additional caregiving resources and return-to-work programs further bolster this area.
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The Company
HQ: Philadelphia PA
115000 Employees
Year Founded: 1963
What We Do
Welcome to Comcast. From the connectivity and platforms we provide to the content and experiences we create we bring people together globally. Our people think the world of our work and that’s why our work is the best in the world.
Why Work With Us
We believe you can achieve extraordinary things when you feel connected - to the work you do and who you do it with. From the platforms we provide to millions of people to the content and experiences we create - we bring our customers viewers and teammates closer together across the globe.
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