Data Engineering & Warehousing Manager leading the design and development of enterprise data pipelines. Collaborating on data governance standards and ensuring scalable data solutions for Hastings Insurance.
About the role
- Lead Platform Data Engineer focusing on data architecture and integration at Allegion, enhancing security solutions. Collaborate on data strategy and mentor engineering teams for data standardization and quality.
Responsibilities
- Establish and document the organization’s first comprehensive data topology and inventory , transforming undocumented legacy flows into a structured, scalable platform blueprint.
- Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to standardize identity layers and ensure consistency across the product lifecycle.
- Design high-performance data flows and transformation layers that surface usage analytics and recurring revenue signals to drive AI-powered insight generation.
- Lead the integration of platform service layers with mobile/web applications to streamline device commissioning and cross-functional data access.
- 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.
- Drive the technical proposal process, conducting cost-benefit analyses for new systems to balance immediate delivery with long-term platform health.
- Implement automated data quality monitoring, lineage tracking, and observability practices to ensure high-fidelity data for downstream analytics and compliance.
- Engineer data lifecycle policies that strictly adhere to global privacy regulations (GDPR/CCPA) and enterprise security standards.
- Establish and enforce rigorous coding standards and peer review processes, mentoring the team to transition from "plumbing" to modern DataOps practices.
Requirements
- 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 , specifically owning the technical roadmap.
- Ground-to-Cloud" Experience: A proven track record of entering environments with high technical debt/minimal documentation and successfully implementing a formal data strategy and topology.
- Stakeholder Management: Experience working directly with Product and Executive teams to translate business questions into technical data requirements.
- AI/ML Integration: Previous experience building feature stores or pipelines specifically designed to feed AI/ML models or LLMs.
Benefits
- Health, dental and vision insurance coverage, helping you “be safe, be healthy”.
- A commitment to your future with a 401K plan, offering a 6% company match and no vesting period
- Tuition Reimbursement
- Unlimited PTO
- Employee Discounts through Perks at Work
- Community involvement and opportunities to give back so you can “serve others, not yourself”
- Opportunities to leverage your unique strengths through CliftonStrengths testing and coaching
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