Business Intelligence Developer/Data Warehouse Architect
Listed on 2025-12-02
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IT/Tech
Data Engineer, Data Analyst, Data Warehousing, Database Administrator
Business Intelligence Developer/Data Warehouse Architect
Machine Solutions Inc. is the premier provider of advanced equipment and services for the medical device, biopharmaceutical, and blood‑and plasma‑collection industries. We support our customers’ needs and growth by delivering quality and value through a wide breadth of products.
Company Overview & CultureMachine Solutions is privately owned by BW Forsyth Partners, a Barry‑Wehmiller company. Our solutions support medical devices and biopharmaceutical manufacturers worldwide in advancing healthcare through reliable, scalable technologies. We provide engineered excellence through precision, process, and people, and we are committed to a superior customer experience with a dedicated aftermarket team for technical service and support.
Benefits- Medical, Dental, Vision Insurance
- 401k Retirement Plan with Company matching
- Paid Time off and Paid Sick time
- Health savings and spending accounts
- Long‑term & Short‑term disability
- Life & AD Insurance
- Parental Leave
- Adoption & Fertility Benefits
The BI Developer/Data Warehouse Architect will design, develop, and maintain the Machine Solutions business intelligence platform. This role combines technical expertise in data architecture with BI development skills to create scalable data insight solutions.
Essential Duties and Responsibilities- Creates self‑service interactive dashboards, paginates reports using tools such as Domo or Power BI.
- Architects data warehouse/data lake solution to support legacy and next‑generation ERP business intelligence.
- Supports legacy reports and dashboards using SSRS and Power BI.
- Works with business leaders to identify and deliver KPIs and other metrics.
- Develops and maintains ETL (extract, transform, and load) processes.
- Establishes alerting for pipeline processes and resolves issues.
- Creates automated reporting solutions for various business stakeholders.
- Supports bi‑directional data integration between Salesforce and ERP.
- Fields various data requests from parent companies.
- Creates and maintains out‑of‑the‑box ERP reporting.
- Troubleshoots and resolves data quality issues.
- Owns the process for various BI components of ERP implementation.
- Documents system architecture.
- Maintains legacy on‑premises SQL databases.
- Supports BI activity as it relates to acquisition activity, as needed.
- Develops a master data strategy for Machine Solutions’ next‑generation ERP.
- Collaborates with ERP consultants for data migration.
- Develops a modern solution for real‑time factory floor dashboards.
- Uses standard or ad‑hoc queries/reports to extract data from disparate databases or data sources.
- Analyzes data to produce dashboards, metrics, or insights and identify trends or anomalies.
- Consults with users or decision makers to identify data sources, required data elements, or data validation standards.
- Collaborates with development teams to design business intelligence solutions to facilitate data gathering, storage, and retrieval.
- Other duties as assigned.
Education and/or Experience
- Bachelor's degree in information technology or related field from an accredited university. Industry certifications are a plus.
- 5+ years of IT experience in a related capacity.
- 5+ years' experience working with Microsoft SQL Server.
- Experience designing analytics with Domo, SSRS, Power BI, Crystal Reports, Tableau.
- ERP experience, ideally in a discrete manufacturing environment.
- The ideal candidate will have strong collaborative skills and embrace the entrepreneurial spirit.
- Any combination of education, training, or experience that demonstrates the ability to perform the duties of the position.
Skills and Abilities
- High‑level knowledge and experience in database management and tuning.
- Advanced skills in financial reporting.
- Advanced skills in dimensional modeling.
- Knowledge and experience with data marts, data warehousing tools, and data lakes.
- Knowledge and experience with AWS (Amazon Web Services).
- Knowledge and experience with Infor LN.
- Knowledge and experience connecting BI systems to CRM (Salesforce, Hub Spot).
- Knowledge and experience writing moderately complex SQL queries.
The…
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