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Engineering Manager leading analysis teams in aerospace sector to develop strategic vision and enhance mission capabilities. Collaborating with multidisciplinary teams to support national security and civil space enterprises.
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
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