Senior Data Engineer
Cisco Open At a glance
Senior Data Engineering role at Cisco. Krakow · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Set the long-range architecture for Partner Hub Analytics and establish standards for how the platform is built
- Design and deliver scalable data pipelines using Apache Pinot, Apache Iceberg, Flink and Spark
- Turn business needs into data solutions with product management and cross-functional leaders
- Set expectations for data quality, observability and reliability across the platform
- Guide engineering teams, mentor colleagues and align enterprise work on governance and architecture
What you bring
- A degree in computer science, engineering or a related technical area, or equivalent experience
- Substantial data engineering experience leading large-scale infrastructure projects
- Strong Spark or Flink skills and a deep understanding of streaming systems
- Advanced capability in data modeling, database design or performance tuning for analytical systems
Who this fits
This senior technical leadership role suits someone who can set platform direction while guiding engineers and aligning work across teams. The position is based in Krakow, Poland, with a hybrid arrangement.
From the employer
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.
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.
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