Meet the Team
Cisco's Webex Engineering Group is redefining the future of collaboration. We're building a world where people connect effortlessly to enjoy modern, uncompromised collaboration across every room, desk, pocket, and application.
Our technology powers industry-leading products like Slido, Webex Meetings, Webex Calling, and Webex Contact Center. As a member of our team, your work will ensure every user gets a truly immersive experience regardless of device or location, empowering the hybrid working patterns of the future.
Our team is based in Bratislava. We operate a hybrid working model.
Your Impact
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. Your leadership will directly shape the evolution of Partner Hub Analytics, providing partners with the tools to optimize their business operations. Acting as the critical link between business strategy and technical execution, you will develop a culture of innovation, engineering rigor, and continuous improvement.
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.
Collab Hiring
Why Cisco?At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Skills Required
- Bachelor’s or Master’s degree, or equivalent experience, in Computer Science, Engineering, or a related technical field
- Extensive professional experience in data engineering
- Proven track record leading large-scale data infrastructure projects
- Proficiency with distributed data processing frameworks, specifically Spark and/or Flink
- Deep knowledge of streaming architectures
- Advanced expertise in data modeling, database design, or performance optimization for large-scale analytical systems
- Hands-on experience with Apache Pinot and Apache Iceberg in production environments
- Experience architecting and deploying data solutions in AWS, GCP, or Azure
- Ability to lead technical initiatives and influence cross-functional teams globally
- 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
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
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Healthcare Strength — Health coverage is described as broad, with medical options including PPOs, high-deductible plans, and regional HMOs. Feedback suggests robust wellness and mental-health resources, with some locations offering on-site support and second medical opinions.
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Leave & Time Off Breadth — Time off is highlighted through paid holidays, paid time off, and additional recharge days such as “Days for Me,” with generous volunteer time also mentioned. Feedback suggests these programs help support rest, volunteering, and critical life events.
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Parental & Family Support — Parental and family support appears extensive, including paid child-bonding leave, family medical leave, and caregiving resources. Observations also point to family-planning assistance and adoption or surrogacy support in some regions.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.
