Description

The Open Data Analytics Spark Performance team is looking for a skilled manager to help in our mission to provide the world’s fastest and easiest-to-use cloud Big Data processing platform. We develop the AWS Runtime for Spark, which is 100% API compatible with Apache Spark and is designed to run with superior performance and scalability on customer-managed EC2 clusters, EKS clusters, and in serverless environments. Our runtime is featured on AWS services including Athenaand EMR, which enable AWS customers to run millions of clusters performing large scale analytics against vast datasets. In the last 3 years Open Data Analytics has improved our engines by a factor of 5x by making changes to the plan optimizer, query runtime, and storage connectors. We have also made significant changes to the compiler to enable enterprise features like fine-grained access control. This is a “must-win” strategic area in a growing and very technical space.

As a manager in this space, you will own speeding customer workloads by shipping query performance optimizations in the AWS Runtime for Apache Spark. Your team will apply and extend our automated statistical analysis tools to ensure that these optimizations can be delivered to all AWS Spark customers and allow them to benefit from them out-of-the-box, with no configuration required. This team sped the AWS Runtime for Spark’s 3 TB TPC-DS performance by 1.7x in 2023 through techniques including modifying Spark’s internal data structure implementations, enhancing CodeGen, and enhancing statistics/building advanced heuristics in Spark Catalyst rules to improve query plans both before and during runtime through Adaptive Query Execution. You will drive the team to identify new optimization opportunities, prioritize them, and deliver them to demonstrate speedups vs. Athena/EMR Spark customer workloads and industry benchmarks.

You will take requirements from the savviest customers in the business, work with our Product Management group to identify and pursue market-differentiating opportunities to enhance our Spark customers’ experience, and design and deliver these opportunities, solving deep problems with a strong group of Senior and Principal Engineers.

To learn more about Athena, EMR, and the Spark Performance team’s work:

• AWS Athena: https://aws.amazon.com/athena

• AWS EMR: http://aws.amazon.com/emr

• AWS Big Data Blog: https://aws.amazon.com/blogs/big-data/

• EMR/EKS widens performance gap: https://aws.amazon.com/blogs/big-data/amazon-emr-on-eks-widens-the-performance-gap-run-apache-spark-workloads-5-37-times-faster-and-at-4-3-times-lower-cost/

Utility Computing (UC)

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.

About AWS

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Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance

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Inclusive Team Culture

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Mentorship & Career Growth

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Key job responsibilities

• Prioritize the efforts of a strong engineering team researching and delivering new/enhanced query operator implementation and query plan optimizations

• Ensure AWS customers’ workloads benefit from the optimizations your team delivers.

• Drive collaboration between your team, other AWS teams, and the open source community to identify system/workload insight enhancements and collaborate on optimization techniques.

• Ensure data consistency and durability while obtaining breakthrough performance and scalability.

• Drive team design review processes, ensuring both rapid delivery and a high quality bar.

• Lead technical/product discussions with other Software and Product managers.

• Interface with a diverse customer base to understand requirements, priorities, and processes.

• Lead your team to support and learn from Athena and EMR customers’ Spark usage - with a focus on performance.

• Hire, coach, and mentor query optimization SDEs.

• Interact and partner with the open source community.

• Propose and implement new projects or recommend engine improvements.

• Own all operational metrics and support.

• Help develop long-term development and business technology strategies.

Basic Qualifications

• 3+ years of engineering team management experience

• 7+ years of working directly within engineering teams experience

• 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience

• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations

• Experience partnering with product or program management teams

Preferred Qualifications

• Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy

• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

• Masters degree in Computer Science

• 9+ years of experience in Software development

• 5+ years as a Development Manager managing teams of 10 engineers

• Deep understanding of big data processing

• Experience with query optimizations (plans, execution, resource utilization)

• Experience with SQL and No SQL data stores

• Experience in development of distributed/scalable systems and high-volume transaction applications

• Proven track record of building and managing high performing engineering teams

• Strong business and technical vision

• Ability to handle multiple competing priorities in a fast-paced environment

• Experience with Linux/Unix systems

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.