Note: The job is a remote job and is open to candidates in USA. Logicbroker is the Agentic Commerce Orchestration Engine helping enterprise retailers and brands connect and grow. We are hiring a Lead Data Engineer to drive delivery across our analytics and data platform initiatives, focusing on execution leadership and team coordination.
Responsibilities
- 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
Skills
- 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
- Experience supporting GDPR-compliant data strategies
- Exposure to multi-region or multi-tenant data platforms
- Familiarity with external analytics tools consuming warehouse data
- Familiarity with various data flows, with sources in Azure, AWS, GCP, and others
Benefits
- 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
Company Overview