2 months ago
Carmel, IN, USAStaff+
Responsibilities
- Document how software applications generate, define, and use product data across business units.
- Define and implement a unified GSS product data model, including physical schemas, data interfaces, pipelines, semantic layers, and APIs.
- Maintain the authoritative product data catalog covering definitions, standards, storage, lineage, and ownership.
- Design data lake and digital-twin architectures for connected-device telemetry at scale.
- Create repeatable technical onboarding processes for business-unit products and systems.
- Establish and enforce data-model, lineage, quality, governance, and CI-gate standards.
- Audit product data implementations against shared platform standards and communicate architectural risks to senior leadership.
- Partner with product engineering, enterprise data, AI, identity, and security teams to enable governed data and agentic AI use cases.
- Review the data architecture for EU Cyber Resilience Act compliance and OSDP migration.
- Facilitate architecture reviews and enable product engineering teams to adopt shared data standards.
Requirements
- 8+ years of experience in data architecture, data modeling, or data engineering, including 3–5 years designing shared or central data platforms used by multiple product engineering teams.
- Experience translating conceptual or logical data models into physical architecture, pipelines, and APIs with product engineering teams.
- Experience building and maintaining an enterprise data catalog or comparable metadata and governance repository.
- Experience unifying data models and pipelines across independently operated business units or product lines at enterprise scale.
- Experience designing or operating technical data-onboarding processes for new business units, systems, or data domains.
- Hands-on experience with Databricks, Snowflake, or BigQuery; S3, ADLS, or GCS; Airflow or dbt; Kafka; SQL; and Python.
- Experience ingesting, aggregating, and modeling large-scale device or IoT telemetry using layered data zones.
- Track record of defining and adopting schema, lineage, quality, and governance standards without direct authority over participating teams.
- Understanding of metadata management, data cataloging, master data management, data governance, enterprise architecture frameworks, and DAMA-DMBOK.
- Ability to communicate technical and architectural risk in business terms and facilitate reviews across teams with different priorities.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience; master’s degree preferred.
- Legally authorized to work in the United States.
Benefits
- Health, dental, and vision insurance coverage.
- 401K plan with a 6% company match and no vesting period.
- Tuition reimbursement.
- Unlimited paid time off.
- Employee discounts through Perks at Work.
- Professional development, Clifton Strengths testing and coaching, and opportunities for community involvement.
- Work-life balance and an award-winning, inclusive workplace culture.
Tech Stack
Categories
Data Engineering
About Allegion
Allegion builds mechanical and electronic security products for residential, commercial, and institutional buildings, centered on doors and access control. Its portfolio includes locks, door closers, wireless and biometric access systems, and security management software sold under brands such as Schlage, Von Duprin, LCN, CISA, and Interflex. Spun out of Ingersoll Rand in 2013, Allegion is headquartered in Carmel, Indiana, and sells products in about 130 countries as a public company (NYSE: ALLE).