Staff Data Engineer

MaintainX

Staff Data Engineer shaping MaintainX’s industrial work-execution data platform at Autodesk. Defining architecture, standards, governance, and cross-team data engineering direction.

Posted 9/2/2026full-timeSan Francisco • California • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in shaping data platform architecture and driving cross-team collaboration, with a strong focus on data governance, streaming technologies, and compliance frameworks. Proven ability to mentor engineers and navigate complex organizational structures to achieve strategic goals.

Highest-signal resume keywords

Data Platform ArchitecturePython ProgrammingDatabricks OperationsInfrastructure as Code (IaC)Cross-Team Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringTerraformKafkaFlinkDebeziumBatch and Streaming PipelinesDbtTechnical JudgmentArchitectural Decision-MakingData Governance

Soft Skills

MentoringProblem-SolvingStakeholder AlignmentNavigating AmbiguityDriving Adoption

Tools & Technologies

DatabricksTerraformKafkaFlinkDebezium

Industry Keywords

GDPRCCPASOC2FedRAMP

Tech Stack

Tools & technologies

CloudKafkaPythonTerraform

About the role

Key responsibilities & impact

Shape the technical direction and architecture of the data platform across infrastructure, Databricks, streaming, data products, and governance
Identify and drive resolution of cross-cutting technical challenges across multiple data engineering teams and 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 delivery
Mentor and elevate senior engineers through complex problems and architectural decisions
Navigate ambiguity and lead complex, multi-squad initiatives with minimal direction

Requirements

What you’ll need

9+ years of experience as a data engineer in a modern, production-grade cloud data platform
Meaningful exposure across several key platform domains: IaC infrastructure (Terraform/Atmos), CDC streaming (Kafka, Flink, Debezium), Databricks operations, data governance, batch and streaming pipelines, and developer experience
Track record of cross-team impact
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
Knowledge of compliance and regulatory frameworks such as GDPR, CCPA, SOC2, and FedRAMP (nice-to-have)
Experience designing golden paths and self-service tooling for engineering teams (nice-to-have)

Benefits

Comp & perks

Benefits, retirement and time off are described at benefits.autodesk.com.