Senior Data Engineer

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.

Group/Division

KLA's IT group supports business growth and productivity by connecting people, process and technology around the world. We work to improve the technology that drives our business to thrive and focus on empowering employee use of technology. This integrated approach to customer service, creativity and technological excellence enhances employee productivity, business analytics and process excellence.

What You'll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.

The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.

Job Description/Preferred Qualifications

SAP Data Ingestion & Integration

• Design and implement robust ingestion patterns from SAP source systems (S/4HANA/ECC/BW/HANA) and other cloud source systems into Snowflake using enterprise-approved integration tools.
• Build and maintain incremental loads (CDC), batch pipelines, and near-real-time ingestion where needed.
• Understand SAP functional domains and data structures (e.g., FI/CO, MM, SD, PP) to map business requirements to data models.

Snowflake Data Engineering & Modeling

• Develop and optimize ELT/ETL pipelines leveraging Snowflake capabilities (e.g., Snowpipe, Streams & Tasks, Dynamic Tables where applicable).
• Create and maintain curated dimensional and/or data vault models, conformed dimensions, and reusable fact tables for cross-functional analytics.
• Implement data quality checks, reconciliation controls (source-to-target), and exception handling for SAP extracts.

Performance, Cost, and Reliability Optimization

• Tune queries and pipelines for performance using clustering strategies, caching awareness, pruning, warehouse sizing, and workload separation.
• Monitor and manage Snowflake consumption and performance; recommend cost controls (warehouse scheduling, auto-suspend/auto-resume, resource monitors).

Data Governance & Security

• Apply security best practices: RBAC, masking policies, row access policies, and secure data sharing patterns as needed.
• Partner with governance teams to maintain metadata, lineage, glossary alignment, and compliance standards.

Collaboration & Delivery

• Collaborate with BI developers, analysts, and business stakeholders to translate requirements into scalable datasets.
• Contribute to Agile ceremonies and deliver iterative improvements with high engineering standards.
• Document pipelines, models, SLAs, and operational runbooks; participate in on-call/production support rotations as required.

Required Qualifications

• 5–7 years of experience in data engineering, with hands-on development in Snowflake.
• Strong experience integrating SAP data into analytics platforms or data warehouses.
• Strong SQL skills (advanced joins, window functions, query optimization); experience with performance tuning in cloud warehouses.
• Experience building production-grade pipelines using one or more of:
  • Orchestration: Informatica, ADF, dbt orchestration, or similar
  • Transformation: dbt, stored procedures, Snowflake SQL scripting, or equivalent
• Proficiency in Python (or comparable language) for automation, data processing, and pipeline utilities.
• Understanding of data modeling concepts (dimensional modeling, normalization, data vault basics).
• Experience with CI/CD practices (Git, code reviews, deployment pipelines) and environment management (dev/test/prod).

Preferred / Nice to Have

• Palantir Foundry experience (pipeline development, curated datasets, permissions/lineage) and Ontology experience (Objects/relationships).
• Familiarity with SAP S/4HANA data models and performance concepts (e.g., CDS views, HANA calculation views).
• Experience with BI/visualization tools (Power BI, Tableau, Looker) and building datasets optimized for reporting/semantic layers.

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees.  KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings.  KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers.  If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

About KLA

We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.

Use of AI Statement 

At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer.