The Open Data Analytics Spark Performance team is looking for a skilled manager to help in our mission to provide the worlds 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 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 Sparks 3 TB TPC-DS performance by 1.7x in 2023 through techniques including modifying Sparks 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 teams work:
- AWS Athena: AWS EMR: AWS Big Data Blog: EMR/EKS widens performance gap: 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.
About the team
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll 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.
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- 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
- 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 software development experience
- 5 years of software development manager managing teams of more than 5 software engineers experience
- Knowledge of big data businesses and technical concepts
- Experience in writing complex highly-optimized SQL queries across large datasets
- Experience in Database like NoSQL
- Experience in a high volume transactional and distributed system environment
- 5 years of managing technical teams with significant personnel management experience and examples of developing engineers and building successful teams experience
- Experience performing complex business case analysis to justify technical decisions and presenting the justification to management in a high-level review
- Experience managing multiple projects and priorities across teams in a fast-paced deadline-driven environment
- Experience using Unix/Linux
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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Redmond - 184900.00 - 250200.00 USD annually