Sr. Data & Cloud Engineer

Solve IMG•Charlotte, NC

About The Position

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. 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.

Requirements

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%

Nice To Haves

Experience supporting data environments within manufacturing or industrial distribution industries
Microsoft Azure, Microsoft Fabric, Power BI, or related cloud and data engineering certifications

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