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Manager, Engineering (Data)

Namely

This is a Full-time position in New York, NY posted December 13, 2021.

Do you love leading a team of software engineers, acting as a mentor and encouraging their careers?

Does the opportunity balance managing a team while also contributing your own code sound like your kind of challenge?

Can you lead collaboration both within your team and cross functionally with other engineering and technology teams?

Namely is looking for a Data Engineering Manager to lead a team working on the data platform and analytics/reporting features.

As an engineering manager, you will partner with the leaders in Engineering and Product to deliver and ensure the best possible experience for both internal and external customers.

You will be driving best practices and standards for software development at Namely.

Responsibilities

• Lead a team of data engineers in building a high quality data platform for streaming and batch processing

• Deliver customer facing features for analytics, reporting, and auditing across all Namely domains

• Support Namely Engineering by providing tools for accessing streaming and batch historical data

• Work closely with product managers and engineers to develop and align on the team’s roadmap initiatives

• Oversee and ensure the team is meeting their product delivery commitments

• Contribute to the team’s codebase as an IC by writing code, architecting solutions and participating in code reviews

• Lead, facilitate and assist product managers and software engineers in conducting agile ceremonies and implementing processes

• Work closely with engineers to ensure they are growing and developing in their careers

• Remove blockers for the team and identify ways to proactively improve the developer experience, and optimize the efficiency of the team

• Interview, hire and grow the team as needed

Requirements

• A minimum of 2 year of applicable experience in leading and managing a team of data engineers

• A minimum of 5 years experience in data engineering

• Experience writing production ETL pipelines using Apache Spark and Scala

• Experience with data warehouse modeling

• Experience building, shipping and maintaining customer facing features

• Ability to summarize technical and complex ideas or solutions

• Ability to lead a team in scoping and estimating work across multiple sprints

• Ability to attract, interview, develop and retain top talent

• Strong analytical and technical skills to identify critical and impactful issues, escalate them and drive them to resolution

• Strong communication and interpersonal skills

• Highly organized with a strong attention to detail

• Proven track record of working cross functionally with Engineering, Product, Design and business stakeholders.

• BS or BA or equivalent experience. 

Nice to Haves

• Experience with Databricks, Airflow, and Looker

• Experience with Docker