What are the responsibilities and job description for the Sr. Data & Cloud Engineer position at Solve IMG?
Solve Industrial Motion Group strives to be the trusted source for engineered bearings and power transmission solutions. Supported by a diverse range of products within Solve’s brand portfolio and our unmatched technical expertise, we have over 100,000 ready-to-ship components. At Solve we innovate with ambition, offering custom solutions in a wide range of applications. We obsess over our customers, leveraging our nationwide network for industry leading product availability, and best-in-class customer service. Our engaged team leads with integrity, and unites with purpose, driving toward innovation and continuous improvement every day.
POSITION DESCRIPTION: Reporting to the Sr. IT Manager; Reporting & Analytics, the Sr. Data & Cloud Engineer plays an integral role in designing, developing, and supporting Solve’s cloud-based data and analytics environment. The ideal candidate will partner closely with IT, analytics and business stakeholders to deliver scalable, reliable, and secure data solutions that enable informed decision-making across the organization. The Sr. Data & Cloud Engineer will combine their strong technical expertise and leadership skills, with their passion for continuous improvement, helping to advance Solve’s data strategy and cloud transformation initiatives.
RESPONSIBILITIES:
POSITION DESCRIPTION: Reporting to the Sr. IT Manager; Reporting & Analytics, the Sr. Data & Cloud Engineer plays an integral role in designing, developing, and supporting Solve’s cloud-based data and analytics environment. The ideal candidate will partner closely with IT, analytics and business stakeholders to deliver scalable, reliable, and secure data solutions that enable informed decision-making across the organization. The Sr. Data & Cloud Engineer will combine their strong technical expertise and leadership skills, with their passion for continuous improvement, helping to advance Solve’s data strategy and cloud transformation initiatives.
RESPONSIBILITIES:
- Develop and support solutions using Microsoft Fiber, including OneLake, Lakehouse, Warehouse, Data Factory pipelines and Direct Lake semantic models
- Lead modernization projects to migrate legacy Azure Analysis Services and Synapse workloads into Fabric
- Develop acquisition (ACQ) ingestion with validation, standardization and retry logic
- Design, develop and maintain reliable ETL and ELT pipelines, including repeatable ingestion pattern for newly acquired companies and source systems
- Develop and support reliable data pipelines and workflows that ensure timely, accurate and consistent access to critical business information
- Monitor and optimize the performance, reliability and availability of cloud-based data platforms and reporting environments
- Support data governance, security and quality initiatives to promote trusted and well-managed data across the organization
- Operate development, deployment, testing and roll-back safe release management processes via Azure DevOps to ensure stable and efficient delivery of platform enhancements
- Create and maintain technical documentation, standards and best practices to support operational excellence and knowledge sharing
- Leverage the use of AI-driven capabilities within the data and analytics ecosystem, helping the organization improve reporting, forecasting, operational efficiency and business decision support
- Bachelor’s degree in Computer Science, Information Technology, Engineering or a related field, or equivalent combination of education and professional experience
- 8 years of experience designing, developing and supporting enterprise data, analytics or cloud platforms
- Experience migrating SSIS, Azure Analysis Services or legacy data-warehouse workloads to Microsoft Fabric
- Experience working with Microsoft Fabric, Microsoft Azure, Power BI or comparable cloud data and analytics technologies
- Strong SQL skills and experience developing data integration, transformation and reporting solutions
- Demonstrated proficiency with AI-powered tools and technologies, with the ability to apply them responsibly to improve data analysis, reporting, automation, documentation and business processes
- Solid understanding of data warehousing, data modeling, data governance and data quality best practices
- The ability to travel up to 10%
- Experience supporting data environments within manufacturing or industrial distribution industries
- Microsoft Azure, Microsoft Fabric, Power BI, or related cloud and data engineering certifications
- Market competitive benefits package, including company-sponsored health coverage, life insurance, 401(k) plan with company match, paid parental leave and paid time off
- Work in a collaborative environment with passionate and innovative teammates