Data Engineering Manager

We are seeking a creative problem solver to take our analytics infrastructure to the next level. The ideal candidate will take ownership of the data engineering function for the commercial business to unlock the potential of our data. They will provide thought leadership on data and technology strategy in addition to developing, implementing, and operating stable, scalable, low-cost enterprise data solutions.

Client Details

A vertically integrated infant nutrition company founded in 2016. Headquartered in New York City, ByHeart is one of only five fully integrated U.S. infant formula brands, overseeing every step of production-from sourcing organic, grass-fed whole milk to manufacturing and distribution .

Description

Analytics Strategy and Platforms

• Drive continuous improvement for our analytics tools & platforms
• Implement best practices for data governance, security, and performance to ensure scalable and reliable analytics solutions
• Align data strategies with business objectives and KPIs
• Evangelize a data driven philosophy for decision making and support the broader use of analytics

Infrastructure Operations & Enhancements

• Maintain and develop our analytical environment including data marts that drive actionable analytics insights across the company
• Build data solutions including, but not limited to, new pipelines, dashboards, data marts and ad hoc data pulls to address business asks coming from variety of stakeholders
• Handle data-related ad hoc requests and work assignments not related to specific project work, including but not limited to, new feature development, external data research, investigations into new tools and emerging trends, etc.

Cross-functional Collaboration

• Participate in project teams as the SME for data acquisition, modeling and transformation who enables reporting and analysis for business stakeholders
• Support professional development efforts to raise the bar for analytics capabilities and data proficiency across the enterprise

Profile

• 4-6 years of experience in data engineering function with a track record of turning raw data into actionable insights and business value
• Experience in a high-growth startup environment with omnichannel presence, delivering on priorities and projects with minimal oversight
• Strong communication skills with the ability to navigate levels of thinking and work with stakeholders from different functions and management levels
• Technology requirements
  • Expert level proficiency in SQL and BigQuery
  • Advanced expertise with the broader Google Cloud platform capabilities
  • Strong competence in dbt and github for code management & deployment
  • Experience with custom development and ad hoc analysis (e.g. Python)
  • Familiarity with 3rd party integration tools (e.g. FiveTran, Stitch)
  • Familiarity with business intelligence platforms (Looker preferred)
  • Technical writing and documentation of models, flows and architecture

Job Offer

3 Rounds interview process, a client looking to hire immediatly, and a hybrid wfh structure.

MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.