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Senior Manager of Data Engineering

Company: Quest Groups LLC
Location: Mountain View
Posted on: November 17, 2021

Job Description:

Senior Manager of Data Engineering
Location: Mountain View, CA - onsite

As Senior Manager of Data Engineering on our platform team, you'll be at the head of our push to adopt, integrate, and deliver new data-sources to accelerate the next generation of our products across all of our product areas. Working closely with the machine learning, product and platform engineering organizations, you'll define our data architecture, lead a team to build a cohesive, organized and effective data organization, and instill a data-driven culture across the company.
We leverage all available tools and technologies to build our best-in-class tech-stack, which affords us flexibility of fast-deployments, along with the stability to support aggressive SLAs for critical-path client APIs and applications. We build our models using Pytorch and Tensorflow, and leverage Python, Spark and Postgres across our AWS-deployed cloud infrastructure.

Onboard with our engineering team to learn about our tech-stack, our software development process, and start contributing to our code-base.
Learn our near- and long-term product strategy and understand our roadmap.
Get to know the engineers, data scientists, and machine learning researchers you'll work with through 1:1s and by sitting in on team and project meetings.
Learn our current data-architecture, including how we manage, update and deploy data while maintaining stability and speed within our systems.
Get to know your team, learning about their current projects, understanding their career goals, and setting up effective team coordination.
Identify and scope 1-2 specific engineering initiatives needed to achieve our product goals, and develop actionable project plans.

Be an expert in our data-stack, able to develop effectively, run and debug our primary ETL pipelines.
Hire 2+ data engineers and set them up to contribute effectively against the data-engineering roadmap.
Re-organize and document the primary data sources within our data warehouse, making it effortless for the engineering team to discover and access our data at scale.
Onboard several new data partners and manage their integration into our systems, accelerating key initiatives.

Work with product and business teams to proactively identify and integrate strategically valuable data sources.
Efficiently execute to ship products and deliver impact for our engineering teams.
Develop new tools, processing and pipelines for managing our data workflows and data infrastructure, leveraging open-source/SAAS tools to accelerate development.
Recruit, lead, mentor, and inspire a dedicated data engineering team, and help lead a data-first culture at Analytics.

Demonstrated success leading data-heavy engineering teams or leading critical initiatives within engineering organizations.
Experience with ETL and data-processing frameworks, like Spark, Hadoop, and Airflow. Strong SQL and data-modeling skills working with cloud-based data warehouses like Redshift, Athena, and Big Query.
Experience with BI Tools like Tableau, Periscope, and Google Data Studio.
Excellent communication skills: Able to effectively communicate in a clear, concise manner with experience communicating technical issues to cross-functional groups.
Excellent technical planning skills with a proven track record of developing and executing complex technical projects.
Bachelors in Computer Science or similar field required.

Keywords: Quest Groups LLC, Mountain View , Senior Manager of Data Engineering, Executive , Mountain View, California

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