Overview:
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 Engineer with deep expertise in Snowflake and strong functional understanding of one or more areas: Sales, Service, Order Fulfillment, Supply Chain, and Finance operations. This role will lead the development of scalable, trusted data pipelines that serve as the foundation for enterprise-wide analytics. You will work closely with stakeholders across these domains to design and deliver integrated data products sourced from platforms like Oracle Fusion Cloud, Salesforce, and other business systems
Responsibilities:
1. Enterprise Data Engineering with Snowflake
* Build and manage robust ELT pipelines in Snowflake to unify data from Oracle Fusion Cloud, Salesforce, ERP, CRM, and operational systems.
* Design curated data models to support KPIs across Sales (pipeline, conversion), Service (case resolution, renewals), Order Fulfillment (OTD, backlog), Supply Chain (inventory, procurement), and Finance (revenue, cost, forecasting).
* Ensure high performance and scalability through warehouse tuning, modular architecture, and cost optimization.
2. Cross-Functional Partnership
* Collaborate with business leaders in Sales, Customer Service, Finance, Fulfillment, and Supply Chain to gather requirements and translate them into actionable, scalable data solutions.
* Build shared data assets that support 360 customer views, quote-to-cash analysis, forecast accuracy, supplier performance, and working capital insights.
* Enable real-time operational reporting and decision-making across functions.
3. Oracle Fusion Cloud Integration
* Lead data integration efforts for Oracle Fusion Cloud modules including Finance (GL, AP, AR, Projects), SCM (Procurement, Inventory, Order Management), and Service Contracts.
* Transform Fusion data into analytics-ready formats with reliable metadata, handling complex joins, hierarchies, and time-based calculations.
* Develop automated pipelines using BICC extracts, APIs, and third-party tools for continuous ingestion and enrichment.
4. Data Governance, Security, and Access Control
* Implement role-based access, data masking, and security controls tailored to the needs of Finance, Sales, and Operations users.
* Ensure consistency in business logic and terminology by contributing to a shared data dictionary, metrics glossary, and lineage documentation.
* Champion data quality, validation, and auditability across all functional domains.
Qualifications:
Careers Privacy Statement
***Keysight is an Equal Opportunity Employer.***
Required:
* 7+ years of experience in data engineering, including 3+ years working with Snowflake.
* Strong hands-on experience integrating and modeling data from Oracle Fusion Cloud, particularly in Finance, SCM, and Order Management modules.
* Functional understanding of Sales, Customer Service, Fulfillment, Supply Chain, and Financial processes.
* Proficient in SQL, and ELT tools such as dbt, Fivetran, or Matillion.
* Demonstrated ability to work with complex data transformations, large-scale datasets, and cross-domain integration.
Preferred:
* Snowflake SnowPro Certification.
* Experience with Salesforce, Oracle Analytics Cloud, or similar tools.
* Familiarity with FP&A tools, Supply Chain platforms, and customer support systems (ServiceNow, Zendesk).
* Background in supporting executive reporting, real-time operational dashboards, and predictive analytics.
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