Lead Platform Data Engineer

STANLEY Access Technologies

Golden, CO, USA
Base: $131,400 - $205,000; bonus/equity: yes; bene...
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Data architecture and strategy
Data topology and inventory
Data contracts (openapi/asyncapi)
** STANLEY Access Technologies is seeking a Lead Platform Data Engineer to oversee data architecture connecting product applications throughout the customer lifecycle. The role requires strong technical leadership to influence cross-functional teams and implement data strategies, while also promoting a culture of mentorship and adherence to data standards. **

Job Summary

  • As a Lead Platform Data Engineer, you will own the data architecture that connects product applications across the full customer lifecycle.
  • You'll operate with significant autonomy on ambiguous, cross-functional problems - working across organizational boundaries to align teams on shared identifiers, event schemas, and integration patterns.
  • Allegion is proud to be a recipient of the Gallup Exceptional Workplace Award for the second year in a row, recognizing our commitment to employee engagement, strengths-based development, and unlocking human potential.

Matching Summary

Match Score: 75

** STANLEY Access Technologies is seeking a Lead Platform Data Engineer to oversee data architecture connecting product applications throughout the customer lifecycle. The role requires strong technical leadership to influence cross-functional teams and implement data strategies, while also promoting a culture of mentorship and adherence to data standards. **

Salary

Base: $131,400 - $205,000; Bonus/Equity: Yes; Benefits: Health, dental, vision, 401K with 6% match, Tuition Reimbursement, Unlimited PTO

Skills & Requirements

Must-have

  • Data architecture and strategy
  • Data topology and inventory
  • Data Contracts (OpenAPI/AsyncAPI)
  • AI-powered insight generation
  • Workflow orchestration (e.g., Airflow, dbt)
  • CI/CD pipelines
  • Data quality monitoring and lineage tracking
  • Global privacy regulations (GDPR/CCPA)

Nice-to-have

  • Bridging platform and data engineering
  • Technical leadership and mentorship
  • Autonomy on ambiguous problems
  • Stakeholder influence across teams
  • Transitioning from 'plumbing' to DataOps

Key Requirements

  • Bachelor’s Degree in Computer Science or related field
  • 7+ Years in Data Engineering
  • 2+ Years in a Lead or Staff capacity
  • Proven track record of implementing formal data strategy
  • Experience building feature stores for AI/ML models

Work Rights

Legally authorized to be employed in the United States

Tailored Resume

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