Data Solutions Engineer

Key Responsibilities 

Include but are not limited to: 

• Design, develop and maintain data models supporting business intelligence, analytics, and operational needs.
• Design, develop, maintain and document reports (paginated and interactive visualizations) as standard product offerings, ensuring consistent availability throughout the enterprise.
• Work closely with business analysts and stakeholders to understand data requirements and translate them into effective solutions.
• Define and enforce data standards, governance policies, and best practices for data architecture.
• Collaborate with IT and engineering teams to ensure seamless integration of data models from data pipelines, warehouses, and analytical solutions.
• Maintain data dictionaries, metadata repositories, and documentation for data models.
• Identify and resolve data quality and consistency issues across different systems.
• Identify and track tasks and milestones to maintain and enhance data products and report progress and issues to IT and business leadership.

Skills & Requirements 

Education / Experience 

• 4-6 years of experience in data warehouse data modeling, database design, or data architecture.
• Degree in Information Systems, Computer Science or equivalent degree or experience
• Experience in report writing and visualization design using industry-standard tools.
• Experience with data warehouse solutions such as Fabric, Synapse or Snowflake.
• Experience working with relational databases (SQL Server, PostgreSQL, MySQL) and/or NoSQL databases (MongoDB, Cassandra, DynamoDB).
• Experience working with data from a combination of ERP, CRM, or work order management systems.
• Understanding of data governance, security, and compliance standards (GDPR, HIPAA, etc.).

Specific Skills / Abilities 

• Strong knowledge of Microsoft PowerBI or Fabric semantic models.
• Experience with version control and continuous integration/continuous delivery (CI/CD).
• Familiarity with Power BI as a data visualization tool.
• Experience with ETL processes and data warehousing with Spark, Data Bricks, or Microsoft Fabric.