Manager, Data Platform Engineering

April 2

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501 - 1000

💰 $620M Series C on 2022-01

Description

• Minimum 6+ years of experience building and leading a team of high-performing data platform engineers • Experience building and deploying products that rely on large-scale distributed systems in Python or Go, Scala/Java, or other similar languages • Experience with large-scale, distributed systems design and development with an understanding of scaling, replication, consistency, and high availability • Experience in defining and developing high-volume, horizontally scalable architectures • Experience with system software design and development with an understanding of computer architecture, storage, network, and IO subsystems • Experience with Big Data query engines such as Hive, Presto, Trino, Spark • Experience with data stores such as Redshift, MySQL, Postgres, Snowflake, etc. • Experience using Realtime technologies like Apache Kafka, Kinesis, Flink, etc. • Technical knowledge of Cloud Platforms (AWS, GCP, Azure) and open-source technologies • Background in performance tuning, identifying performance bottlenecks, and implementing performance optimizations • Prefer BS, MS, or Ph. D. in Computer Science with 6+ years of proven relevant industry experience • Can switch fluently between player/coach model (hands-on programmer with a good knowledge of data-structures and CS algorithms)

Requirements

• Lead the design and implementation of the next generation of platforms, tools and products • Responsible for detailed architecture, POC, design, advising and often hands-on implementation of complex systems including software and integration with existing systems at 1Password • Lead and help create data engineering solutions that follow Repeatable Software engineering platforms and tools • Own and architect scalable solutions that are implementable with principles of extensibility, scalability, modular and easy to use with generalization principles • Co-develop and help stand-up operational stability and quality along with Engineering teams through Observability • Develop and manage SLO’s, performance and optimization opportunities of the cloud platforms • Help create and implement data governance structures that ensure adherence and adoption of data policies • Provide recommendations on cost-avoidance and optimization of cloud environments • Mentor technical engineers on operationalizing data solutions and ensuring automation through the data value chain • Champion platform standards, tooling, and processes • Establish effective organizational structures, anticipating or adapting to a changing environment • Create impact at all levels of the organization as torch-bearer for data platform engineering principles • Manage the roles and workflows of a team dedicated to data platform engineering

Benefits

• Lead the design and implementation of the next generation of platforms, tools and products • Responsible for detailed architecture, POC, design, advising and often hands-on implementation of complex systems including software and integration with existing systems at 1Password • Lead and help create data engineering solutions that follow Repeatable Software engineering platforms and tools • Own and architect scalable solutions that are implementable with principles of extensibility, scalability, modular and easy to use with generalization principles • Co-develop and help stand-up operational stability and quality along with Engineering teams through Observability • Develop and manage SLO’s, performance and optimization opportunities of the cloud platforms • Help create and implement data governance structures that ensure adherence and adoption of data policies • Provide recommendations on cost-avoidance and optimization of cloud environments • Mentor technical engineers on operationalizing data solutions and ensuring automation through the data value chain • Champion platform standards, tooling, and processes • Establish effective organizational structures, anticipating or adapting to a changing environment • Create impact at all levels of the organization as torch-bearer for data platform engineering principles • Manage the roles and workflows of a team dedicated to data platform engineering