Honeywell is a Fortune 100 company that invents and manufactures technologies to address critical challenges linked to global macrotrends such as safety, security, productivity, global urbanization, and energy. With approximately 129,000 employees worldwide, including more than 19,000 engineers and scientists, Honeywell has an unrelenting focus on quality, delivery, value, and technology in everything they make and do. Honeywell has been named a Top 100 Global Innovator for seven years in a row, recognizing the company’s global reach of portfolio and invention influence.

Honeywell Federal Manufacturing & Technologies (FM&T) manages and operates the U.S. Department of Energy/National Nuclear Security Administration’s (NNSA) Kansas City National Security Campus in Kansas City. This state-of-the-art engineering, manufacturing, and sourcing facility produces many intricate components to deliver trusted national security products and government services, primarily for the NNSA. Honeywell FM&T’s integrity, commitment, and continuous improvement culture enable them to deliver responsive, collaborative, and innovative management and technology services and products that translate into cutting-edge solutions to complex national security issues.

The Senior Data Architect will lead highly complex or enterprise-critical projects that architects an efficient way to manage data across a diverse but unified data tier. Design, translate business requirements, develop, document, test, monitor, troubleshoot and administrate our data environment using our ETL, Data Virtualization, Business Intelligence Reporting, and Big Data toolsets.

***This is a HYBRID ROLE in Kansas City, MO***

Duties and Responsibilities: 

• Ability to help design, build, and manage data pipelines for data structures encompassing data transformation mapping, data flow diagrams, logical and physical data models, and metadata collection.
• The ability to work with IT and business in developing, managing, and integrating business intelligence reporting, analytics, and data science output into business processes and workflows.
• Helps develop and translate data strategies into data integration frameworks and reporting to enable business analytics.
• Provide a standard common business vocabulary, express strategic data requirements, outline high-level integrated designs to meet these 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 Technical Review Board and Enterprise Architects to ensure all systems are in line with the long-term IT strategy.
• Proactively analyzes existing data structures or reporting to identify weaknesses and develop improvement opportunities. May oversee or lead new data application package evaluation and selection process.
• Develop and document IT data models (Conceptual, Logical, and Physical) to facilitate efficient and effective use of data. 
• Implement and maintain solutions for modeling, ETL/API, data mining, and metadata management.