Join a company that is transforming from a traditional industrial company to a contemporary digital industrial business, harnessing the power of cloud, big data, analytics, Internet of Things, and design thinking. As a Principal Data Architect at Honeywell, you'll define and evolve data architecture strategy aligned with business goals. Your expertise in data management and innovative technologies will drive excellence in our practices. Setting standards for complex data modeling, ETL processes, and database optimization will ensure high data quality and performance. You'll shape data governance policies and ensure regulatory compliance. Advising senior leadership, you'll drive data-driven decision-making and foster a culture of data excellence. Join us and make a significant impact, driving our data strategy forward to achieve business goals.

You Must Have:

• Bachelor's degree and 12 years of relevant experience
• At least 10 years of experience working with the physical and logical architecture of data systems
• Ability to lead and innovate to meet business goals and objectives
• Ability to communicate clearly and concisely to explain findings to non-technical Stakeholders
• Proven expertise of big data technologies and cloud computing (5 year of Experience in Snowflake & Azure )
• Expert-level proficiency in Python, SQL with hands-on knowledge of modern data engineering tools and practices.
• Knowledge of at least one data modeling software tool such as Erwin or ER/Studio,
• Experience managing high-performing engineering teams and mentoring junior engineers in complex technical environments.
• Experience and domain knowledge of enterprise systems of records such as SAP for ERP, Salesforce for CRM and associated E2E processes etc.
• Background in enterprise domains such as Commercial, Finance, Supply Chain, Customer Experience and others.
• Working knowledge of languages such as Spark, Scala, Rust, C#, Java or similar.
• Familiarity with IT Operations, ITIL practices and other service management frameworks.
• Ownership and Pride in your work and willingness to work in a diverse, cross-functional environment.

We Value:

• Knowledge of at least one data modeling software tool such as Erwin or ER/Studio,
• Experience managing high-performing engineering teams and mentoring junior engineers in complex technical environments.
• Experience and domain knowledge of enterprise systems of records such as SAP for ERP, Salesforce for CRM and associated E2E processes etc.
• Background in enterprise domains such as Commercial, Finance, Supply Chain, Customer Experience and others.
• Working knowledge of languages such as Spark, Scala, Rust, C#, Java or similar.
• Familiarity with IT Operations, ITIL practices and other service management frameworks.
• Ownership and Pride in your work and willingness to work in a diverse, cross-functional environment.

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Benefits:

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 Honeywell

The 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.

Homepage | Honeywell Benefits

Key Responsibilities

• Manage Architect for data analytics use cases. Supervise EDW initiatives considering user needs, new capabilities, and tech advancements.
• Oversee Analytics, AI and Automation initiatives across Finance and Customer Experience Enterprise functions
• Innovate and implement technologies/methodologies for data management
• Drive evaluation & observability first mindset bringing Gen AI reliability to the center stage. Strategize around creating a robust data flywheel ensuring a roadmap for continuous learning systems.
• Shape organizational data governance policies and ensure regulatory compliance
• Serve as key advisor to senior leadership, driving data-driven decision-making and fostering data excellence
• Maintain solutions for data modeling and metadata management
• Design, build and manage data pipelines for data structures encompassing data transformation mapping, data flow diagrams, logical and physical data models, and metadata collection
• Work with both IT and business in developing, managing, and integrating business intelligence reporting, analytics, and data science output into business processes and workflows
• Translate data strategies into data integration frameworks and reporting to enable business analytics
• Utilize a standard common business vocabulary, outline high level integrated designs to meet requirements, and align with enterprise strategy and related business architectures
• Leads planning sessions with customers to improve business processes and prioritize investments in data and infrastructure
• Works closely with Enterprise Architects to assure all systems are in line with the long-term IT strategy
• Proactively analyzes existing data structures and reports to identify weaknesses and develop opportunities for improvements
• Utilize best practices for naming, governing, managing, modeling, cleansing, transforming, moving, storing, and searching all data
• Ensure changes to the data environment are compliant to the architectural standards
• Lead design and data model reviews providing constructive feedback to Application Developers