SI CoE IoT Data Modeling Architect

Xylem (XYL) is a leading global water technology company committed to developing innovative technology solutions to the world’s water challenges. The Company’s products and services move, treat, analyze, monitor and return water to the environment in public utility, industrial, residential and commercial building services settings. Xylem also provides a leading portfolio of smart metering, network technologies and advanced infrastructure analytics solutions for water, electric and gas utilities. The Company’s more than 16,500 employees bring broad applications expertise with a strong focus on identifying comprehensive, sustainable solutions. Headquartered in Rye Brook, New York with 2017 revenue of $4.7 billion, Xylem does business in more than 150 countries through a number of market-leading product brands. The name Xylem is derived from classical Greek and is the tissue that transports water in plants, highlighting the engineering efficiency of our water-centric business by linking it with the best water transportation of all - that which occurs in nature. For more information, please visit us at www.xylem.com. Sensus, a Xylem brand, helps a wide range of public service providers - from utilities to cities to industrial complexes and campuses - do more with their infrastructure to improve quality of life in their communities. We enable our customers to reach farther through the application of technology and data-driven insights that deliver efficiency and responsiveness. We partner with them to anticipate and respond to evolving business needs with innovation in sensing and communications technologies, data analytics and services. Learn more at sensus.com and follow @SensusGlobal on Facebook, LinkedIn and Twitter. The Role: As a vital member of the SI CoE (Systems Intelligence Center of Excellence), you will responsible for overall data designs and Governance over data modeling for Applications developed using the Xylem Cloud framework. We are looking for someone who has a passion for defining new standards for data modeling of IoT Data content from hundreds of different real-time data sources. The challenge of modeling complex data which will have a huge impact on the future of Xylem data analytics for hundreds of consolidated Applications from around the globe. Bring your creativity and years of experience to the table and work with teams of engineers, data scientists and Product Managers in crafting cloud based data solutions that cross all boundaries of water, gas, electric and smart city management. Essential Duties/Principal Responsibilities:

• Help to define common semantics for IoT data
• Develop data models or model extensions suited to the specific needs of our customers and business
• Define workflows to merge existing data into common model(s)
• Define governance and best practices to ensure reusability and consistent definitions
• Work with Growth Centers and Business Units to define common usable IoT data models
• Oversee the Data Modeling process
• Establish and Governance of IoT Data Modeling Guidelines
• Ensure compliance to Modeling Guidelines
• Ongoing management of Modeling Standards
• Provide documentation on Modeling techniques for advanced data analytics
• Participate on official standard committees work, help to merge Xylem developed standards into official industrial standards, (The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)
• Light lifting (20-25 lbs.), office environment

• Regularly required to sit or stand, reach, bend and move about the facility Work Environment (The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)

• Office: Standard office equipment; work usually performed in an office setting free from any disagreeable elements. o Standard weekly job hours: 40 hours

Minimum Qualifications: Education, Experience, Skills, Abilities, License/Certification:

• Bachelor’s Degree in Computer Engineering or related field required
• 5+ years designing complex data structures with RDBMS and NoSQL technologies
• 5+ years’ experience in a data analysis role
• Experience of an OO Language such as Java or C#
• Knowledge of industrial used data standards (water business, building automation), prefered
• Experience with Geospacial data standards (OGC), preferred
• Proven ability to work in distributed systems
• Analytical and problem solving skills
• Excellent written and verbal communication skills
• Demonstrated experience in working with multiple areas of the organization including Engineering and Product Marketing