Job Description

The application window is expected to close on July 3, 2025

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.  

Meet the Team

We are seeking an experienced Big Data Technical Leader to lead the design, implementation, and optimization of our data lake using Databricks, Apache Spark, and AWS cloud services. In this senior role, you will architect scalable solutions, mentor junior engineers, and drive technical decision-making to transform large-scale data into actionable business insights.

Your Impact

In this role you will be part of a team that is building a unified experience for how products are provisioned and how Identity and Access is managed in the platform. 

• Architect and lead the development of complex ETL pipelines and data workflows using Databricks and Apache Spark
• Help lead the design and evolution of our data lake architecture in AWS and Databricks Unity Catalog
• Optimize Spark applications for performance, cost-efficiency, and scalability
• Define data engineering best practices and design patterns for the organization
• Mentor junior engineers and provide technical leadership across teams
• Collaborate with data science, ML, and other product teams on requirements and develop PoCs
• Evaluate and integrate new technologies into our data platform
• Lead technical design reviews and contribute to strategic roadmap planning
• Implement robust monitoring, alerting, and disaster recovery systems

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
• 7+ years of experience in data engineering and experience working with Apache Spark
• Experience with common storage types (AVRO, Parquet, Delta, Iceberg, ORC)
• Experience with at least one programming language (Python, Scala, or Java)
• Extensive experience with AWS data services (S3, EMR, Glue, Lambda, Step Functions)

Preferred Qualifications:

• Expertise with Databricks platform, including Delta Lake and Databricks workflows
• Experience with SQL, optimized big data queries, and tuning large-scale data processing workloads
• Experience with real-time data processing using Structured Streaming, Kafka, or Kinesis
• Experience designing and implementing data lakes and data warehousing solutions
• Experience with Infrastructure as Code using Terraform

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. Simply put – we power the future.

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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