Senior Manager of Data Engineering
Company: Quest Groups LLC
Location: Mountain View
Posted on: November 17, 2021
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.
THE TECH STACK
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.
WITHIN 1 MONTH, YOU'LL
Onboard with our engineering team to learn about our tech-stack,
our software development process, and start contributing to our
Learn our near- and long-term product strategy and understand our
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
Get to know your team, learning about their current projects,
understanding their career goals, and setting up effective team
Identify and scope 1-2 specific engineering initiatives needed to
achieve our product goals, and develop actionable project
WITHIN 3 MONTHS, YOU'LL
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.
WITHIN 6 MONTHS, YOU'LL
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
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.
THE SKILL SET
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
Experience with BI Tools like Tableau, Periscope, and Google Data
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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