Description
Cisco's Webex Engineering Group is redefining the future of collaboration, building a world where people connect effortlessly to enjoy modern, uncompromised collaboration across every room, desk, pocket, and application.
As a Data Analytics lead, you will define the technical roadmap for our Partner Hub analytics ecosystem. You will lead the design and implementation of sophisticated, high-scale data architectures, ensuring our platform remains performant, secure, and resilient.
Key Responsibilities
- Define and complete the long-term technical strategy, setting architectural standards for the Partner Hub Analytics platform.
- Lead the design and delivery of scalable, high-performance data pipelines applying Apache Pinot, Apache Iceberg, Flink, and Spark.
- Provide high-level technical guidance and mentorship to engineering teams, encouraging a culture of technical excellence and professional growth.
- Collaborate with product management and multi-functional leadership to translate sophisticated business requirements into robust, scalable data solutions.
- Establish industry-leading standards for data quality, observability, and system reliability to ensure critical platform stability.
- Anticipate data engineering trends and evaluate new technologies to maintain what makes us successful.
- Lead enterprise-wide initiatives, driving alignment on data governance, architecture, and development life cycles.
Minimum Qualifications
- Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related technical field.
- Extensive professional experience in data engineering, with a proven track record of leading large-scale, sophisticated data infrastructure projects.
- Proficiency in distributed data processing frameworks, specifically Spark and/or Flink, with deep knowledge of streaming architectures.
- Advanced expertise in data modeling, and/or database design, and/or performance optimization for large-scale analytical systems.
Preferred Qualifications
- Deep, hands-on experience designing and managing production environments using Apache Pinot and Apache Iceberg.
- Extensive experience architecting and deploying data solutions within major cloud environments (AWS, GCP, or Azure).
- Proven ability to lead technical initiatives and influence cross-functional teams across a global organization.
- Experience integrating AI/ML models into production data pipelines to power advanced predictive analytics.
- Significant experience managing the full lifecycle of mission-critical, high-availability data platforms.
- Demonstrated history of mentoring engineers and fostering high-performance team cultures.
- Exceptional strategic thinking, communication, and stakeholder management skills.