DoorDash
Senior Engineering Manager
DoorDash, San Francisco, California, United States, 94199
DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. The Data Platform owns all the infrastructure necessary to run an operationally efficient analytical data stack. The Core Data part of this includes data ingestion (batch and real time), data compute & transformation, data storage (warehouse, data lake, OLAP etc.), querying infrastructure as well as data compliance, quality and governance. The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling.About the Role
As a Senior Engineering Manager in DoorDash’s Core Data Platform organization, you will be responsible for the most critical long term technical roadmap of the organization. You will use your skills and experience in guiding the engineers and the management leadership on the right technical choices, mentor several senior engineers and hold a high bar of technical competency. You will be taking a very active part in build vs buy strategies and work with several leading Data Vendors and solution providers in the industry. You will report into the Senior Director of Engineering, Data Platform as part of our Data organization in Engineering.You’re excited about this opportunity because you will…
Drive vision & strategy for building the Core Data Platform charter and position it to handle the challenges of a rapidly growing business.Bring your expertise in building and operating high scale systems with a focus on reliability and quality of analyzed data.Lead a well run, successful team via coaching, mentoring and providing technical and career guidance.Build, sustain, and grow a diverse team to address the growing needs of the organization.Build data intensive solutions that are used by DoorDash engineers, data scientists, analysts or business users from across the company. Drive and deliver the ongoing product vision of data products.Think in terms of building data products and not systems. You excel at driving the engineering vision, strategy, and execution for an organization consisting of multiple teams and sub teams.You are a technology leader. You excel at mentoring and guiding a fast growing organization in setting the right architectural patterns, handling build vs buy decisions, working with various vendors in the data solutions space, making judicious investments in the right areas anticipating what the company needs a few years down the road.You think of quick wins while planning for long term strategy and engineering excellence. You are excited about breaking down large systems into manageable, sustainable components that can be iterated on.You strive for continuous improvement of data architecture and development process.You are excited about cross collaboration with stakeholders, external partners and peer data leaders.You love rolling up your sleeves to get down to the lowest level of detail.Foster a positive and supportive work culture.We’re excited about you because you have…
B.S., M.S., or PhD. in Computer Science or equivalent.10+ years of industry experience.5+ years of experience in an engineering management role.Extensive experience building and operating scalable, fault-tolerant, distributed systems in the area of large scale data intensive applications.Experience with a range of large scale (multiple PetaBytes) data systems such as data processing, complex/high volume real-time insights, data quality and reliability frameworks, cost efficiency etc. Familiarity with the following areas is optimal: Data Warehousing and Data Lake technologies such as Snowflake, Databricks, various table formats such as Iceberg or Delta Lake.
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As a Senior Engineering Manager in DoorDash’s Core Data Platform organization, you will be responsible for the most critical long term technical roadmap of the organization. You will use your skills and experience in guiding the engineers and the management leadership on the right technical choices, mentor several senior engineers and hold a high bar of technical competency. You will be taking a very active part in build vs buy strategies and work with several leading Data Vendors and solution providers in the industry. You will report into the Senior Director of Engineering, Data Platform as part of our Data organization in Engineering.You’re excited about this opportunity because you will…
Drive vision & strategy for building the Core Data Platform charter and position it to handle the challenges of a rapidly growing business.Bring your expertise in building and operating high scale systems with a focus on reliability and quality of analyzed data.Lead a well run, successful team via coaching, mentoring and providing technical and career guidance.Build, sustain, and grow a diverse team to address the growing needs of the organization.Build data intensive solutions that are used by DoorDash engineers, data scientists, analysts or business users from across the company. Drive and deliver the ongoing product vision of data products.Think in terms of building data products and not systems. You excel at driving the engineering vision, strategy, and execution for an organization consisting of multiple teams and sub teams.You are a technology leader. You excel at mentoring and guiding a fast growing organization in setting the right architectural patterns, handling build vs buy decisions, working with various vendors in the data solutions space, making judicious investments in the right areas anticipating what the company needs a few years down the road.You think of quick wins while planning for long term strategy and engineering excellence. You are excited about breaking down large systems into manageable, sustainable components that can be iterated on.You strive for continuous improvement of data architecture and development process.You are excited about cross collaboration with stakeholders, external partners and peer data leaders.You love rolling up your sleeves to get down to the lowest level of detail.Foster a positive and supportive work culture.We’re excited about you because you have…
B.S., M.S., or PhD. in Computer Science or equivalent.10+ years of industry experience.5+ years of experience in an engineering management role.Extensive experience building and operating scalable, fault-tolerant, distributed systems in the area of large scale data intensive applications.Experience with a range of large scale (multiple PetaBytes) data systems such as data processing, complex/high volume real-time insights, data quality and reliability frameworks, cost efficiency etc. Familiarity with the following areas is optimal: Data Warehousing and Data Lake technologies such as Snowflake, Databricks, various table formats such as Iceberg or Delta Lake.
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