PeoplePath - Tech Lead
Requirements
• Strong proficiency in Go and SQL • Experience with Python, PySpark, Pandas, or similar data tools • Familiarity with Databricks • Experience with NoSQL document-based databases • Proficiency with Git and GitHub • Experience building or maintaining CI/CD pipelines (GitHub Actions or similar) • Experience with Azure or other cloud platforms is a plus • Experience with Infrastructure as Code tools (Terraform, Bicep, etc.) is a plus • Strong problem-solving and analytical skills • Proactive and ownership-driven approach to technical challenges • Excellent written and verbal communication skills • Humble, open-minded, and collaborative leadership style • Ability to balance independent work with team leadership • Adaptable and comfortable navigating change • Eager to learn and stay current with emerging technologies • Why This Opportunity • Leadership role within a growing engineering organization • Exposure to a modern, data-driven product environment
Responsibilities
• Leadership & Team Management • Own and continuously improve engineering team processes and workflows • Ensure engineers have clear, actionable priorities and deliverables • Conduct regular 1:1s, providing mentorship and supporting career development • Participate in hiring, onboarding, and team growth initiatives • Foster a culture of trust, ownership, consistency, and transparency • Help unblock engineers on technical or product-related challenges • Partner closely with Product to define roadmap priorities and ensure technical alignment • Collaborate with leaders across engineering, product, and operations • Software Development • Document technical requirements and proposed solutions clearly for the team • Collaborate with cross-functional partners to translate customer needs into scalable software solutions • Build and maintain systems using technologies such as Go, CosmosDB, Postgres, Azure Functions, Event Grid, and Event Hub • Support and modernize legacy systems built in .NET/C# and SQL Server • Actively identify and reduce technical debt as part of feature development • Data Engineering • Design and maintain complex data pipelines supporting business-critical systems (e.g., tax filing, rate ingestion, order ingestion) • Partner with Product to understand customer reporting and data needs • Establish and promote clean, consistent data standards across the organization • Work extensively with Databricks on Azure, leveraging tools such as Delta Tables, Lakeflow Declarative Pipelines, Workflows, and Unity Catalog • Quality & Best Practices • Promote best practices for code quality, testing, and documentation • Participate in and lead code reviews to maintain high engineering standards
Benefits
• Leadership role within a growing engineering organization • Exposure to a modern, data-driven product environment • Fully remote, flexible work arrangement
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