SLT Data Engineering Manager

Description

Invent the future with us

Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.

As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications.

Join us at Ampere and work alongside a passionate and growing team - we’d love to have you apply! 

About The Role

As a Data Engineering Manager within the System Level Test (SLT) team, you will be responsible for managing and optimizing the flow of test data generated from Automated Test Equipment (ATE) and SLT processes. Your focus will be on building scalable, reliable data pipelines and infrastructure to support advanced analytics and insights that drive quality and efficiency improvements. You will lead efforts to scale data solutions to handle large volumes of test data, ensuring performance and robustness in a big data environment.

What You’ll Achieve

• Design, develop, and maintain data pipelines that ingest, process, and transform test data from ATE and SLT systems.
• Collaborate closely with test engineers, data scientists, and analytics teams to understand data requirements and deliver actionable insights.
• Architect scalable data solutions capable of handling increasing volumes of test data, leveraging Databricks and big data technologies.
• Ensure data quality, consistency, and availability to support real-time and batch analytics workloads.
• Lead and mentor a team of data engineers focused on test data management and analytics support.
• Implement best practices for data governance, security, and compliance within the test data ecosystem.
• Optimize data storage and processing workflows to improve efficiency and reduce latency.
• Monitor system performance and troubleshoot issues related to data ingestion and processing at scale.
• Drive continuous improvement initiatives to enhance data pipeline scalability and reliability.

About You

• 8+ years of experience in data engineering or related roles
• Extensive hands-on experience with Databricks, Apache Spark, and cloud platforms (AWS, Azure, or GCP).
• Strong programming skills in Python, Scala, or Java.
• Experience with data warehousing solutions and big data technologies.
• Proven leadership experience managing and mentoring engineering teams.
• Deep understanding of data modeling, ETL/ELT processes, and data pipeline architecture.
• Excellent problem-solving, communication, and collaboration skills.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

What We’ll Offer

At Ampere we believe in taking care of our employees and providing a competitive total rewards package that includes base pay, cash long-term incentive, and comprehensive benefits.

Benefits Highlights Include

• Premium healthcare, personal accident, and fully paid social insurance scheme as well as annual health check, so that you can feel secure in your health and financial future.
• Generous paid time off policy so that you can embrace a healthy work-life balance.
• Daily catered lunch, a variety of snacks, energizing coffee or tea, and refreshing drinks to keep you fueled and focused throughout the day.

And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are excited to share more about our career opportunities with you through the interview process.

Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.