Cisco

data engineer for Partner Hub Analytics

In short

Senior data engineering role at Cisco's Webex Engineering Group, defining technical strategy and leading delivery of scalable data pipelines for the Partner Hub Analytics platform using Apache Pinot, Apache Iceberg, Flink, and Spark. The role involves mentoring engineering teams, setting data quality and architecture standards, and collaborating with product and cross-functional leadership. It demands extensive data engineering experience, deep expertise in streaming architectures and data modeling, and the ability to lead enterprise-wide initiatives. Hybrid work in Warsaw, Poland.

About the Team
Cisco's Webex Engineering Group develops collaboration technology and products, including Slido, Webex Meetings, Webex Calling, and Webex Contact Center. Cisco also creates solutions that connect and protect organizations, providing security, visibility, and insights across their digital footprint.
Responsibilities
•Define the long-term technical strategy and architectural standards for the Partner Hub Analytics platform
•Lead the design and delivery of scalable, high-performance data pipelines using Apache Pinot, Apache Iceberg, Flink, and Spark
•Provide technical guidance and mentorship to engineering teams
•Collaborate with product management and cross-functional leadership to translate business requirements into scalable data solutions
•Establish standards for data quality, observability, and system reliability
•Anticipate data engineering trends and evaluate new technologies
•Lead enterprise-wide initiatives and drive alignment on data governance, architecture, and development lifecycles
Requirements
•Bachelor's or Master's degree, or equivalent experience, in Computer Science, Engineering, or a related technical field
•Extensive professional experience in data engineering and a proven track record leading large-scale data infrastructure projects
•Proficiency in Spark and/or Flink and deep knowledge of streaming architectures
•Advanced expertise in data modeling, database design, and/or performance optimization for large-scale analytical systems
Nice to Have
•Hands-on experience with Apache Pinot and Apache Iceberg in production
•Experience architecting and deploying data solutions in AWS, GCP, or Azure
•Ability to lead technical initiatives and influence cross-functional teams in a global organization
•Experience integrating AI/ML models into production data pipelines
•Experience managing the lifecycle of high-availability data platforms
•Experience mentoring engineers and fostering high-performance team cultures
•Strategic thinking, communication, and stakeholder management skills
Conditions
Not specified in the posting.

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