Joblaze summary

The Staff Data Engineer at MaintainX plays a crucial role in shaping the technical architecture of the company's expansive data platform, addressing complex challenges and influencing cross-team collaboration. This position requires extensive experience in cloud data platforms, particularly with tools like Terraform, Kafka, and Databricks, alongside strong Python skills. Ideal candidates will have a proven track record of driving impactful changes across teams and navigating organizational complexities. The role is suited for seasoned professionals who can mentor others while making strategic architectural decisions.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on MaintainX's careers page October 29, 2026.
Python appears in 46.2% of 91 comparable staff data engineering roles; Debezium appears in 1.1% of 91 comparable staff data engineering roles.

Quick facts

How much experience is required?: At least 9 years of relevant experience for this Senior Principal Data Engineer role.
What's the tech stack?: Joblaze extracted these technologies from the posting: Databricks, Debezium, Flink, Kafka, Python, Terraform.
What seniority level is this role?: MaintainX targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Senior Principal Data Engineer role at MaintainX.

From the original posting

We are seeking a Senior Principal 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.

What you'll do:

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

About you:

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

Nice-to-haves:

Knowledge of compliance and regulatory frameworks (ex: GDPR, CCPA, SOC2, FedRAMP) and how to translate them into platform controls
Experience designing golden paths and self-service tooling for engineering teams

Standard company text repeated across MaintainX's postings is omitted here.

Senior Principal Data Engineer

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