Greenbox Capital-posted 3 months ago
Full-time • Senior
51-100 employees

Are you a Senior Platform Engineer ready to take a career-defining step into leadership? Are you tired of maintaining legacy systems and want a greenfield opportunity to build a modern platform the right way from the ground up? We are a rapidly growing FinTech on a mission to hit 20x growth in the next five years. To do that, we are building a new, cloud-native technology platform on Azure and Databricks. As our Lead Platform Engineer, you will be the foundational technical expert at the heart of this transformation. You won't just be joining a team; you'll be the architect and builder of the core data and application services that will power our entire business. This is your chance to own a platform, establish a modern engineering culture, and put yourself on a clear, defined path to becoming a Principal Engineer.

  • Architect the Core Background: Design and build the central nervous system of our company. You'll create scalable, secure, and testable microservices and libraries using Python, FastAPI, and Pydantic. You'll manage and secure these services through Azure API Management (APIM).
  • Master the Databricks Lakehouse: Engineer our end-to-end data platform. This includes building robust data ingestion and transformation pipelines using Delta Live Tables and Databricks Workflows, ensuring data quality and governance with Unity Catalog, and optimizing Spark clusters for both performance and cost.
  • Drive Data Orchestration & Integration: Implement and manage complex data flows using Azure Data Factory (ADF). You'll connect disparate systems—from our core Salesforce platform to transactional data in SQL MI and document data in CosmosDB—and play a key role in architecting our modernization strategy for legacy systems.
  • Establish Engineering Excellence: You will define what 'good' looks like. This includes implementing best practices for the entire Software Development Lifecycle (SDLC) within Azure DevOps (ADO), from version control and CI/CD to automated testing, security (CodeSec/DataSec), and observability.
  • Mentor and Lead: As the senior technical expert, you will guide and mentor other engineers and external partners. You will create the reference implementations and documentation that enable the entire team to build effectively and scale.
  • 7+ years of professional experience in software or data engineering, with a proven track record of shipping and owning complex, data-intensive applications.
  • 5+ years of deep, hands-on experience building scalable, testable backend services, libraries, and APIs in Python.
  • Strong, practical experience of engineering data solutions on the Databricks Lakehouse Platform.
  • Comfortable with both the data engineering (Spark/SQL) and platform aspects (cluster management, job orchestration).
  • Solid understanding of the Azure cloud and hands-on experience with services like ADF, APIM, SQL MI, or CosmosDB.
  • Understanding of the difference between transactional and analytical data models and know how to choose the right tool for the job.
  • Passion for mentoring others and a history of leading complex projects, even in an informal capacity.
  • Competitive Pay - We know your worth and we pay accordingly.
  • Flexible PTO - Work hard, rest well. Take the time you need to recharge.
  • Remote - Fully remote within the U.S., working Eastern Time hours to keep everyone aligned.
  • Full Benefits Package - Health, dental, vision.
  • Smart, Supportive Teammates - Collaborate with sharp minds who are kind, driven and uphold our core values: Commitment, Communication, Teamwork, Service and Integrity!
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