Data Engineering Director at Honeywell

DescriptionHoneywell Forge is looking for a Data Leader to help productize scale and shape Honeywell Forge Data Platform that is the backbone of driving AI and Autonomous solutions. This leader will enable data strategy and data execution to enable revenue streams from AI products drive AI-driven insights for customers and build a trusted scalable data platform that can be democratized for Building and Industrial Automation business. The ideal leader is equal parts strategist and hands-on technologist capable of setting vision shaping data architecture and diving deep with senior engineers to designs optimize pipelines and resolve complex data challenges. The success of this role will be defined by adoption of Honeywell Forge Data Lake delivery of deep stakeholder engagement cost efficiency of data platform accelerated speed of innovation using data and demonstrable business value from AI-ready data.ResponsibilitiesDefine and own the Honeywell connected data engineering strategy reference architecture for AI-ready data including cloud platform data-as-a-service and automation-first delivery model. Develop and communicate the enterprise data strategy and roadmap ensuring alignment product requirements and innovating for data as a service.Lead architectural decisions for Honeywell Forge Data Lake comprising IT and OT data CDC and integration with multiple source systems; handle reuse performance cost efficiency and time-to-market.Architect implement and operate hybrid and cloud-native data platforms with heavy automation.Establish trusted domains focusing on security governance and reuse across business lines. Lead the design and delivery of reusable trusted data as a service with clear SLAs documentation versioning and APIs; enforce data contracts for product requirements.Enable secure governed data sharing and monetization.Provide platform services and reusable capabilities for data science and AI: feature store model-ready curated layers governed sandboxes MLOps integration and model/data lineage.Embed data governance within pipelines: lineage capture data classification role-based and attribute-based access fine-grained controls and consent management.Implement data quality by design: thresholding anomaly detection reconciliation and data SLAs enforced in CI/CD and runtime with automated quarantine/retry/escalation.Support build-vs-buy decisions licensing cloud spend and vendor relationships. Scale teams and partners globally while building strong relationships with executives technical teams vendors and business partners to understand needs influence strategy and promote best practices.Oversee platform implementation projects balancing innovation cost-effectiveness and risk management.Scale mentor and inspire a diverse high-performing data engineering and architecture team; develop adaptive hiring and resourcing strategies reflecting organizational growth and transformation.Ensure compliance with all risk regulatory and audit standards and maintain rigorous internal controls.QualificationsUS PERSON REQUIREMENTS:Due to compliance with US export control laws and regulations candidate must be a US Person which is defined as a US citizen US permanent resident or have protected status In the US under asylum or refugee status or have the ability to obtain an export authorization.Required Experience10 or more years in data engineering and/or data and analytics including 5 or more years leading large-scale data engineering and platform teams in complex environments.Deep expertise in data architecture and engineering: data modeling (OLTP/OLAP) big data and query engines lakehouse data warehousing MDM data integration CDC and large-scale batch/stream processing.Experience delivering data products at scale with embedded governance metadata/lineage and continuous DQ; strong background in data contracts and data observability.Time series data streaming expertise event-driven architectures and change data capture patterns. Proven success designing and operating enterprise cloud-native data platforms on at least one hyperscaler.Practical experience enabling AI/ML: feature stores model-ready datasets MLOps integration and privacy-preserving patterns; comfortable partnering with data scientists and ML engineers.Executive presence with the ability to translate complex architectures into business value present to senior leadership/board-level stakeholders and lead through influence.5 or more years of people leadership including hiring performance management coaching and org design.Bachelors degree from an accredited institution in a technical discipline such as the sciences technology engineering or mathematicsPreferred ExperienceBachelors or Masters degree in Computer Science Engineering or related discipline (STEM preferred).Experience in industrial plants buildings operations knowledge of domains such operational efficiency energy savings predictive maintenance and operational optimization.Familiarity with data monetization secure data sharing and analytics in hybrid platforms.In addition to a competitive salary leading-edge work and developing solutions side-by-side with dedicated experts in their fields Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical Dental Vision and Life Insurance; Short-Term and Long-Term Disability; 401(k) match Flexible Spending Accounts Health Savings Accounts EAP and Educational Assistance; Parental Leave Paid Time Off (for vacation personal business sick time and parental leave) and 12 Paid Holidays. For more information visit:Benefits at HoneywellThe application period for the job is estimated to be 40 days from the job posting date; however this may be shortened or extended depending on business needs and the availability of qualified candidates.Required Experience:Director Key Skills Go,Lean,Management Experience,React,Node.js,Operations Management,Project Management,Research & Development,Software Development,Team Management,GraphQL,Leadership Experience Employment Type : Full-Time Experience: years Vacancy: 1