Senior Data Architect

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

We are looking for a Senior Data Architect to lead the design, standardization, and scalability of enterprise data architecture across our analytics and AI landscape. This individual will play a key role in establishing a modern, governed, and secure data environment that enables trusted insights, predictive capabilities, and data-driven decisions at scale.

• Design and maintain a scalable, modular data architecture that supports analytics, reporting, AI/ML, and operational needs.

• Define standards for data modeling, pipeline development, and integration across cloud and on-prem platforms.

• Architect data domains, data products, and data layers to enable reuse, performance, and agility.

• Lead architectural decisions around data platforms (e.g., Snowflake, Data Lake, ETL/ELT, streaming architecture).

• Integrate structured and unstructured data sources from systems like Salesforce, Oracle ERP, and marketing automation into a unified ecosystem.

• Ensure seamless data flow across business applications, analytics tools, and AI models.

• Collaborate with Data Governance and Security teams to define and enforce access control, data classification, and compliance policies.

• Implement role-based access, encryption standards, and auditable data access frameworks.

• Ensure alignment with privacy regulations and corporate risk policies.

• Partner with Data Engineering, Analytics, and Business teams to translate strategic needs into scalable data solutions.

• Guide and mentor data engineers and analysts on best practices, architecture patterns, and data quality standards.

• Collaborate with program managers to ensure architecture fits within enterprise operating models.

• Stay current with trends in data mesh, data fabric, real-time data, and AI integration.

• Evaluate and recommend new technologies or methodologies to future-proof the data ecosystem.

• Drive technology upgrades and migrations in coordination with IT and platform teams.

Careers Privacy Statement

***Keysight is an Equal Opportunity Employer.***

Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

• 10+ years in data architecture, data engineering, or related fields, with at least 5 years in a senior or lead role.

• Deep expertise in Snowflake

• Strong knowledge of data modeling (OLTP & OLAP), data warehousing, metadata management, and ETL/ELT design patterns.

• Experience integrating data from multiple enterprise systems including ERP, CRM, and SaaS platforms.

• Excellent stakeholder communication skills and ability to translate business requirements into architectural solutions.

• Experience supporting AI/ML workflows or working closely with data science teams.

• Familiarity with tools such as Matillion, dbt, Informatica, or similar.

• Exposure to data governance tools (e.g., Alation, Collibra) and concepts like data product ownership.

Pay Range:

USD $145,130.00 - USD $241,880.00 Year