Lead Platform Data Engineer

Overview

Creating Peace of Mind by Pioneering Safety and Security. At Allegion, we help keep the people you know and love safe and secure where they live, work and visit. With more than 30 brands, 12,000+ employees globally and products sold in 130 countries, we specialize in security around the doorway and beyond. In 2024 we were awarded the Gallup Exceptional Workplace Award, recognizing the most engaged workplace cultures in the world.

As a Lead Platform Data Engineer, you will own the data architecture that connects product applications across the full customer lifecycle—from specification and ordering through device provisioning, installation, and ongoing usage. This is a technical leadership role that bridges platform engineering and data engineering: you’ll define the entity relationships, data contracts, and semantic models that allow disparate systems to share a common language, while mentoring engineers and driving adoption of data standards across teams.

You will operate with significant autonomy on ambiguous, cross-functional problems, working across organizational boundaries to align teams on shared identifiers, event schemas, and integration patterns. The role requires both architectural vision and the ability to influence stakeholders who don’t report to you.

Qualified candidates must be legally authorized to be employed in the United States. The company does not intend to provide sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this employment position.

• Foundation Building:
  Establish and document the organization’s first comprehensive data topology and inventory, transforming undocumented legacy flows into a structured, scalable platform blueprint.
• Unified Modeling:
  Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to standardize identity layers and ensure consistency across the product lifecycle.
• AI-Ready Infrastructure:
  Design high-performance data flows and transformation layers that surface usage analytics and recurring revenue signals to drive AI-powered insight generation.

• System Interoperability:
  Lead the integration of platform service layers with mobile/web applications to streamline device commissioning and cross-functional data access.
• Modern Orchestration:
  Replace ad-hoc processes with robust workflow orchestration (e.g., Airflow, dbt) and CI/CD pipelines to ensure 99.9% data reliability and "Data-as-Code" standards.
• Strategic Planning:
  Drive the technical proposal process, conducting cost-benefit analyses for new systems to balance immediate delivery with long-term platform health.

• Observability & Trust:
  Implement automated data quality monitoring, lineage tracking, and observability practices to ensure high-fidelity data for downstream analytics and compliance.
• Security & Privacy:
  Engineer data lifecycle policies that strictly adhere to global privacy regulations (GDPR/CCPA) and enterprise security standards.
• Technical Mentorship:
  Establish and enforce rigorous coding standards and peer review processes, mentoring the team to transition from "plumbing" to modern Data Ops practices.

• Expert Data Modeling:
  Proficiency in designing relational, No
  
  SQL, and Lakehouse architectures (e.g., Snowflake, Databricks, or Big Query). Mastery of SQL is non-negotiable.
• Modern
  
  Languages:
  
  Advanced Python and/or Go/Java for building scalable data applications and custom integrations.
• Orchestration & Transformation:
  Expert-level experience with dbt and related tools to build repeatable, documented workflows.
• Cloud Infrastructure:
  Hands-on experience with Infrastructure as Code (Terraform/Cloud Formation) and core cloud services (AWS/Azure/GCP).
• Governance & Quality:
  Experience implementing Data Contracts, schema registries, and observability tools.

• Bachelor’s Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field. Master’s Degree in a technical field preferred.
• 7+ Years in Data Engineering, with at least 2+ years in a Lead or Staff capacity owning the…