Posh
New York City Metropolitan Area
Head of Data and Machine Learning
Data Science Full-time 1d ago
- AI
- Machine Learning
- Prototypes
- SQL
S
AI Summary
As the founding Senior Data Engineer, you will own and optimize the entire data platform, evolving Snowflake from analyst-maintained to engineer-optimized while standardizing models for reporting, dashboards, and ML features. You will design self-healing pipelines, democratize data access, bridge engineering and analytics, institute modern practices, and drive strategic infrastructure decisions. Requirements include 5+ years of data engineering experience, deep expertise with modern data warehouses, advanced SQL skills, production dbt experience, and a track record as a sole or lead data engineer at a startup.
Key Highlights
Founding Senior Data Engineer role
Own and optimize entire data platform
Snowflake warehouse optimization and cost reduction
Build self-healing ETL/ELT pipelines
Democratize data access with semantic layers
Drive strategic infrastructure decisions
Key Responsibilities
Own and optimize the entire data platform, evolving Snowflake warehouse from analyst-maintained to engineer-optimized while standardizing data models for client reporting, operational dashboards, and ML features
Build self-healing data pipelines with automatic scaling, monitoring that surfaces issues before users notice, and cost optimization without compromising performance
Democratize data access by designing intuitive models that empower PMs, analysts, and ops teams to find answers independently while upholding security and compliance standards
Bridge engineering and analytics by creating feedback loops between production systems and analytical needs, ensuring schema changes don't disrupt downstream dependencies, and influencing how new features generate data
Institute modern data practices including testing frameworks, CI/CD pipelines for infrastructure changes, and documentation that allows others to extend your work
Drive strategic infrastructure decisions by pinpointing where new tools unlock capabilities, balancing quick wins against long-term architectural vision, and laying groundwork for a data engineering team
Deliver immediate impact through key projects including Data Model Redesign, Pipeline Reliability, Cost Optimization, and Analytics Enablement
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Technical Skills Required
Benefits & Perks
$170K - $190K annual salary
Equity
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Nice to Have
Streaming architectures and real-time analytics
ML infrastructure and feature stores
Financial data privacy regulations and compliance
Previous startup or high-growth company experience
Partnering with engineering teams to improve data quality at the source
Systems thinking across organizational data flows
Ownership mentality with self-directed roadmap
Strategic perspective tying technical decisions to business outcomes
Collaborative working style with analysts, engineers, and product managers
Clear communication and documentation skills
Bias toward iterative shipping
Job Description
About the Company
Our client is reshaping the consumer finance landscape by bringing a more human approach to the industry. Their data-powered products help financial institutions modernize their collections operations, giving borrowers clear, compassionate paths back to financial stability and control. Beyond expanding access to credit, the company is focused on restoring dignity and offering millions of people a genuine opportunity to achieve financial freedom.
About the Role
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