As the Data Architect, you will be part of the Prometha team that delivers customer solutions and outcomes in the boiler industry. The successful candidate must have experience with successfully designing, building, and configuring the architecture for an IoT program. The Data Architect will spend a significant amount of time working with cloud-based components and replacing and/or upgrading components like the database, data conditioning, visualization, analytics, and math engine’s in the IoT system architecture.
Key Responsibilities:
- Create and maintain optimal data pipeline (AWS construct) architectures in the AWS cloud environment
- Work closely with the Product Manager and internal team members to ensure all the data is optimized for next step or process.
- Assemble large and complex data sets that meet both functional and non-functional business needs
- Identify, design and implement internal process improvements such as automating manual data processes, optimizing data delivery and scalability
- Ensure the long-term data storage, processing, infrastructure, speed and quality of the Prometha data-based solutions in the marketplace
- Build and maintain the infrastructure that is required to transfer and hold data from a wide variety of data sources
- Create analytics tools that utilize the data pipeline to provide actionable insights, operational efficiencies and other key performance metrics/indicators (KPM/KPI)
- Create data tools for analytics and data science team members that will assist them in building and optimizing the Prometha product portfolio
- Work with stakeholders on data-related technical issues and their data needs, and maintain a data dictionary of all the data elements and all of the different variations based on equipment data tags
Education & Experience:
- Bachelor's degree in Computer Science, Information Systems, Applied Mathematics or equivalent work experience
- Experience in Machine learning model deployment in live environment
- Designed, built, and configured the architecture for an IoT program; successfully completed multiple iterations of changes and/or upgrades to the system
- Development with Big Data, IoT data, SQL, AWS and built productionized solutions
- Experience building and optimizing big data pipelines architectures and data sets.
- 3+ years of experience as a data engineer within a modeling environment including parsing JSON data
- 3+ years of data & analytics experience inside industrial industry is preferred
- 2+ years of experience in working with at least one NoSQL system like MongoDB.
Physical Skill and Effort: Work requires a few simple, but rapid, hand operations, and simple, easy muscular movements.
Working Conditions and Hazards: Normal plant, shop, field or office conditions. From time to time, slightly disagreeable features.
Negligible/little or no exposure.