CI

Data Architect

Cisco
2 Locations$184k – $264kPosted 20 May 2026

Job Description

The application window is expected to close on: 05/20/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team The Cisco Data Platforms team builds scalable, cloud-ready solutions that power enterprise AI, ML, and advanced analytics. We are a dynamic, inclusive team dedicated to driving operational efficiency and delivering impactful, sustainable data intelligence for our global customers. Your Impact As a Senior Data Architect, you will drive the modernization and governance of Cisco’s hybrid data landscape, bridging Teradata and Snowflake to deliver high-performance, scalable solutions. Your impact will center on ensuring data integrity and cost-efficiency while architecting robust platforms that empower the organization with reliable, advanced analytics and actionable business intelligence. Architect end-to-end data solutions by defining hybrid reference standards and delivering high-performance data models that translate complex business needs into scalable, cloud-native platforms. Direct the design of resilient, secure ETL/ELT frameworks and integration strategies, fostering multi-functional collaboration to optimize data movement across hybrid cloud and on-premises ecosystems. Establish and maintain consistent data governance, security, and compliance standards across Teradata and Snowflake through proactive partner collaboration and policy enforcement. Drive performance and cost-efficiency across Teradata and Snowflake through proactive capacity planning, workload optimization, and continuous architectural improvement. Lead, mentor, and collaborate with cross-functional teams to deliver high-quality, sustainable data solutions through proactive design oversight and alignment to architectural standards. Drive continuous platform evolution by evaluating emerging technologies and architectural approaches while maintaining rigorous documentation, standards, and design guidelines to ensure long-term scalability. Minimum Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field. 8 years of experience in data architecture, data warehousing, and enterprise database design. Experience with Teradata and Snowflake (performance/cost optimization) alongside advanced SQL skills and working knowledge of AWS, Azure, or GCP. Experience in architecting and optimizing large-scale Teradata and Snowflake data environments through expert modeling, performance tuning, and cost-efficient management. Experience in designing and governing high-performance ETL/ELT pipelines and implement complex data modeling methodologies (dimensional, normalized, and hybrid). Preferred Qualifications Strong analytical, communication, and interpersonal skills, with the ability to collaborate across teams and engage effectively with senior stakeholders. Experience with data governance frameworks and tooling. Proficiency in Python or similar scripting languages for automation and orchestration. Exposure to Teradata‑to‑Snowflake migration or modernization initiatives. Familiarity with analytics engineering, BI enablement, or self‑service analytics use cases. 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 soluti ... (truncated, view full listing at source)
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