Hybrid Engineering Manager, Data Platform

Posted last month

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About the role

  • Engineering Manager at GlossGenius focusing on transforming data infrastructure for AI platform. Leading a skilled engineering team to deliver innovative solutions for 100,000+ small business owners.

Responsibilities

  • As an Engineering Manager, Data Platform, you'll be both a hands-on technical expert and a strategic leader.
  • You'll drive the design of core data models and pipelines in our Snowflake and Clickhouse lakehouse, setting the standards for quality, reliability, and scalability across the platform.
  • You'll own end-to-end solutions—from architecture and implementation to operations and optimization—while helping guide the long-term direction of GlossGenius' data ecosystem.
  • You'll collaborate across teams to turn complex business problems into robust data solutions, mentor engineers to help them grow and deliver at a higher level, and help the team evolve toward a fully governed lakehouse with fine-grained access controls and consistent lineage.
  • Design and implement core data models and pipelines that power analytics, ML, and product experiences
  • Implement modern data lake orchestration patterns, including medallion architectures
  • Architect and evolve a scalable, cost-efficient, and reliable lakehouse foundation using Snowflake, Clickhouse, and orchestration tools
  • Define best practices and technical standards that improve data quality, governance, and performance across teams
  • Mentor engineers and foster a culture of ownership, operational excellence, and continuous learning
  • Shape the long-term technical vision and roadmap for GlossGenius' data platform

Requirements

  • 5+ years of experience in data engineering, with a strong background in data architecture, data modeling, and distributed data systems
  • 1+ years of management or technical leadership experience is a plus
  • Deep expertise in modern lakehouse technologies such as Snowflake and Clickhouse
  • Experience implementing modern data orchestration patterns for big data use-cases, including batch and streaming workloads
  • Advanced proficiency in SQL and Python or Scala, including performance optimization and large-scale ETL design
  • Demonstrated ability to lead technical initiatives, set standards, and influence decisions across teams
  • Comfort owning systems end-to-end, including monitoring, reliability, and cost management
  • Excellent communication skills with the ability to translate technical trade-offs to both engineers and non-technical stakeholders

Benefits

  • Flexible PTO
  • Competitive health & dental insurance options, with premiums partially or fully covered by GG
  • In-person opportunities that are designed to help team members foster collaboration and build community (ie; working out of a co-working space, team dinners, and other team building activities)
  • Fertility and adoption benefits via Carrot
  • Generous, fully-paid parental leave policy
  • 401k benefit - employees are eligible to contribute starting day 1 of employment
  • Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
  • Pre-tax commuter benefits
  • Dependent Care FSA
  • Home office support

Job title

Engineering Manager, Data Platform

Job type

Experience level

Mid levelSenior

Salary

$193,000 - $260,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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