Sr. Data & Cloud Engineer

International Medical Group; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health coverage

Life insurance

401(k) with company match

Parental leave

Paid time off

Job summary

Solve Industrial Motion Group seeks a Sr. Data & Cloud Engineer to design, build, and support a scalable cloud-based data and analytics platform. You will partner with IT, analytics, and business stakeholders to enable informed decision-making and drive the company’s data strategy forward.

You will migrate workloads, develop ETL/ELT pipelines, govern data quality, and implement AI-driven capabilities to improve reporting, forecasting, and operational efficiency.

Qualifications

• Bachelor’s degree or equivalent in computer science, IT, engineering or related field.
• 8+ years 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 with Fabric, Azure, Power BI or comparable technologies.
• Strong SQL skills and data integration/ETL/ELT experience.
• Proficient with AI-powered tools to enhance data analysis and automation.
• Knowledge of data warehousing, modeling, governance and quality.

Responsibilities

• Design, develop and support cloud-based data and analytics environments.
• Migrate workloads to modern Fabric-based solutions and optimize performance.
• Build reliable ETL/ELT pipelines and data ingestion for new source systems.
• Implement data governance, security and quality initiatives.

Skills

SQL

AI-powered tools

Data governance

Data modeling

Education

Bachelor’s degree in Computer Science / IT / Engineering

Tools

Microsoft Fabric

Microsoft Azure

Power BI

Job description

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:

• 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

QUALIFICATIONS:

• 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%

PREFERRED QUALIFICATIONS:

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

OUR EMPLOYEE VALUE PROPOSITION:

• 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

Solve is proud to be an Equal Opportunity Employer and prohibits discrimination or harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offence or stalking, or any other class or status in accordance with applicable federal, state, and local laws.