Senior Principal Data Engineer, MaintainX

• 9+ years of experience as a data engineer in a modern, production-grade cloud data platform
• Meaningful exposure across several of the platform's key domains: IaC infrastructure (Terraform/Atmos), CDC streaming (Kafka, Flink, Debezium), Databricks operations, data governance, batch and streaming pipelines, developer experience
• Track record of cross-team impact: changing how multiple teams build, decide, or deliver
• Strong Python and dbt skills
• Demonstrated ability to frame ambiguous technical problems and drive them to resolution with minimal guidance
• Experience navigating organizational complexity and aligning stakeholders
• Experience making architectural decisions with long-term, multi-year consequences
• Strong technical judgment balanced with pragmatism: knows when to advocate for the right solution and when to move forward

Desirable

• We are seeking a Staff Data Engineer to join our growing team. Our data platform spans a wide surface area: infrastructure, CDC streaming, Databricks operations and runtime, data pipelines, developer experience, and data governance.
• We are looking for someone who can exercise meaningful technical leadership across all of it. You will not just deliver solutions; you will frame complex, ambiguous problems, define standards and architectural direction, and ensure teams can make better decisions and deliver more effectively for our stakeholders through your influence and judgment
• Shape the technical direction and architecture of the data platform across its full surface area: infrastructure, Databricks, streaming, data products, and governance
• Proactively identify and drive resolution of cross-cutting technical challenges before they become delivery blockers, working across multiple data engineering teams and both internal and customer-facing projects
• Define and evolve platform-wide standards, patterns, and abstractions adopted across teams
• Influence roadmap priorities by framing trade-offs, surfacing opportunities, and driving alignment across engineering, product, and analytics
• Drive adoption of changes across teams, not just their delivery
• Mentor and elevate senior engineers through complex problems and architectural decisions
• Navigate ambiguity and lead complex, multi-squad initiatives with minimal direction