IT Engineer,Software,Expert

				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 award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. 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 seeking a Lead Data Engineer to design, build, and optimize enterprise-grade data pipelines and platforms that serve as the foundation for advanced analytics, reporting, and AI solutions. This role combines technical leadership, architecture oversight, and hands-on development, with a strong focus on quality, scalability, and stakeholder partnership.

Responsibilities:
1. Data Engineering
* Architect and implement data pipelines, data marts, and transformation layers using Snowflake as the primary cloud data platform.

* Develop and optimize ELT workflows with tools such as Matillion, dbt, or custom Python-based frameworks.

* Design Snowflake schemas, manage data modeling (star/snowflake) and performance tuning of queries, warehouses, and storage.

2. Technical Leadership
* Set technical standards and provide leadership in building modular, reusable data engineering components in Snowflake.

* Lead code reviews, mentor data engineers, and guide development on CI/CD pipelines, version control, and Snowflake DevOps.

* Own the implementation of multi-environment Snowflake development frameworks for dev/test/prod promotion and change control.

3. Platform Optimization & Monitoring
* Implement and monitor Resource Monitors, Query Profiles, and Warehouse auto-scaling to optimize cost and performance.

* Establish usage reporting, job monitoring, and error alerting using Snowflake native capabilities and integrated observability tools.

4. Governance, Security, and Data Quality
* Define and enforce role-based access control (RBAC), data masking, and secure data sharing within and across domains.

* Support the implementation of data contracts, lineage, and data quality frameworks (e.g., Great Expectations).

* Collaborate with Data Governance teams to align platform use with compliance and policy requirements.

5. Business Partnership & Collaboration
* Engage with product owners, analysts, and data scientists to deliver trusted, high-performance datasets.

* Translate business requirements into technical Snowflake data solutions.

* Serve as a Snowflake Data SME for cross-functional teams and stakeholders.

Qualifications:

Careers Privacy Statement 

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

Required:
* 10+ years of experience in data engineering, with 3+ years of hands-on work in Snowflake.

* Proficiency in SQL and Python, especially for ELT orchestration and automation.

* Expertise in data modeling (dimensional, normalized), warehouse optimization, and multi-cluster Snowflake configuration.

* Experience with modern ELT tools like Matillion, dbt, or similar.

* Familiarity with CI/CD practices, Git, and Snowflake-specific DevOps practices.

Preferred:
* Snowflake SnowPro Certification (Core or Advanced).

* Experience integrating Snowflake with Salesforce, Oracle ERP, or other SaaS/enterprise systems.

* Exposure to cataloging tools (e.g., Alation, Collibra), Airflow, and monitoring platforms.

* Knowledge of cost governance and Snowflake usage optimization strategies.
			

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