Lead Data Engineer

🕒 March 18

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Logicbroker

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

☁️ SaaS

🛍️ eCommerce

🤝 B2B

💰 $135M Private Equity Round - Logicbroker on 2021-10

SaaS • eCommerce • B2B

Logicbroker is an API-first, enterprise-grade commerce orchestration platform that connects retailers, brands, suppliers, and marketplaces to automate and scale complex commerce operations. The platform offers AI-driven 'agentic' automation for order routing, inventory sync, supplier onboarding, catalog management, and compliance tracking, with pre-built connectors (EDI, marketplace integrations) and no-code supplier portals. Built on Azure for high availability and security, Logicbroker enables rapid supplier onboarding, multi-channel distribution, and integration with LLMs via Model Context Protocol to support modern eCommerce and B2B workflows.

📋 Description

• Lead a small delivery team and act as a player-coach by owning the most complex data transformations and modeling work, while reviewing and guiding contractor contributions. • Keep work unblocked, well-scoped, and on track to ensure consistent delivery of momentum. • Continue building and refining analytics foundations driven by Gold-layer data models. • Design and implement Medallion architecture transformations (Bronze → Silver → Gold). • Ensure Gold-layer outputs are well-modeled, performant, and consistently consumable by an external analytics engine. • Improve the reliability, clarity, and maintainability of existing pipelines. • Partner with the Engineering Manager to execute an approved Data Warehouse Unification Plan RFC. • Plan and deliver sprint-based execution, with execution as the primary focus given the RFC is already defined. • Work across multiple Databricks instances as part of a GDPR-first data strategy. • Surface execution risks, sequencing concerns, and dependencies early to support successful delivery. • Translate engineering specifications into clear, scoped tickets, logical sprint plans, and well-sequenced workstreams. • Assign work appropriately across contractors based on skill level and complexity. • Implement complex Spark and Databricks transformations directly as needed. • Review pull requests and uphold quality standards across all delivered work. • Communicate progress, blockers, and clarity needs clearly and proactively with stakeholders. • Maintain delivery momentum without unnecessary process overhead.

🎯 Requirements

• Strong hands-on experience with Databricks, PySpark, and Spark SQL • Proven experience implementing Medallion architecture • Solid data modeling skills, especially for analytics and reporting use cases • Experience leading delivery for small engineering teams (formal management not required) • Comfort working with partially defined requirements and refining them collaboratively • Clear written and verbal communication skills in a remote environment

🏖️ Benefits

• Mission-Driven Culture: Be part of a company transforming digital commerce through innovation and agility—your work directly shapes how global brands connect with customers. • Collaborative, No-Ego Environment: We believe the best ideas win, not the loudest voices. You’ll work alongside teammates who challenge and support each other. • Hybrid Flexibility with High-Performance Energy: Whether remote or in-office, we foster autonomy and accountability—because we trust you to own your success. • Leadership That Listens: Our executives are not just accessible—they’re invested in your growth, open to your ideas, and committed to building a company where people thrive. • Celebrated Wins, Shared Learnings: From team offsites to Slack shoutouts, we celebrate progress and learn from setbacks together