Lead Data Engineer

About Logicbroker, Inc.

Logicbroker is the Agentic Commerce Orchestration Engine helping enterprise retailers, brands, suppliers, and distributors connect and grow. Our Intelligent Commerce Network powers over $10B in GMV for global leaders like Samsung, Walgreens, and Home Depot by automating the entire process from discovery to doorstep and stock to dock. We make products discoverable, shoppable, fulfillable, and returnable so our clients can grow faster, delight customers, and run smarter operations.

Job Summary

Logicbroker is hiring a Lead Data Engineer to drive delivery across our analytics and data platform. This is a hands-on technical lead role: you’ll lead a small team of full-time and contract engineers, own the hardest modeling and transformation work yourself, and turn engineering specifications into well-scoped, well-sequenced work. The models you build serve analytics today and increasingly feed AI-powered features in our product.

Why this Role
You’ll lead the build of a modern Databricks platform and shape the Gold-layer models the business and our AI features run on. The team combines full-time and contract engineers and is still taking shape, so you’ll help decide how it works, who joins it, and what it builds next. It’s a chance to grow your leadership scope alongside the team.

Work Authorization: Applicants must be legally authorized to work in the United States. Logicbroker is unable to provide employment visa sponsorship for this position, now or in the future.

What You'll Do:
Lead delivery

• Turn engineering specifications into scoped tickets, sprint plans, and sequenced workstreams, and refine incomplete requirements with the Engineering Manager.
• Assign work across full-time and contract engineers based on skill level and complexity.
• Keep work unblocked and on track without unnecessary process, and surface risks, dependencies, and sequencing concerns early.
• Review pull requests and hold a consistent quality bar across everything the team ships.
• Communicate progress, blockers, and open questions clearly and proactively with stakeholders.
• Set the team’s norms for AI-assisted development: what engineers verify, what needs closer review, and where AI tools help or add risk.

Build the data platform

• Own the most complex transformation and modeling work yourself, implementing directly in Spark and Databricks.
• Design and implement Medallion architecture transformations (Bronze → Silver → Gold).
• Build Gold-layer data models that are performant and easy for BI and analytics tools to consume.
• Modernize our data warehouse across multiple Databricks instances as part of a GDPR-first data strategy.
• Improve the reliability, performance, and cost-efficiency of existing pipelines, from Spark job tuning to Databricks compute spend.
• Make Gold-layer data well-documented and reliable enough for AI and agentic product features to use, not just dashboards.

What We Need:

• 4+ years in data engineering, with strong hands-on experience in Spark (PySpark and Spark SQL). Databricks experience is preferred.
• Proven experience implementing Medallion or a similar layered data architecture.
• Strong data modeling skills, especially for analytics and reporting.
• Experience leading delivery for a small engineering team. Formal management experience isn’t required.
• AI fluency: AI-assisted development is part of your daily work, and you understand what AI features need from data.
• Comfort working with partially defined requirements and refining them collaboratively.
• Clear written and verbal communication with engineers and non-technical stakeholders.

Nice to Have:

• Tuning Spark performance and managing Databricks compute costs at scale.
• Supporting GDPR-compliant data strategies.
• Multi-region or multi-tenant data platforms.
• BI and analytics tools that consume warehouse data.
• Data sources across Azure, AWS, GCP, and others.

Why Logicbroker:

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.

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