Solutions Engineer - Data Visualization

Role Description

The SHI Services Solutions Engineer, Data Visualization, is a core contributor within our Microsoft Data and AI practice, responsible for designing, developing, and delivering enterprise-grade data visualization and analytics solutions using Microsoft technologies. This role focuses on transforming complex data into clear, accessible, and actionable insights that drive business outcomes.

• Design and deliver enterprise Power BI analytics solutions, including dashboards, reports, and semantic models, aligned to business objectives and user needs.
• Leverage Tabular Editor, Power Query, and DAX to create optimized dataflows, semantic models, and complex calculations for scalable analytics solutions.
• Apply human-centered design (HCD) principles and information design best practices to promote intuitive user experiences and maximize data understanding.
• Ensure all deliverables align with WCAG 2 or 508 accessibility standards within the tool capabilities, supporting inclusive analytics that align with user needs.
• Lead discovery sessions and collaborate with architects, data engineers, and client stakeholders to translate business questions into effective analytics solutions.
• Implement governance, security, and access controls, including Row Level Security and role-based access in compliance with client requirements.
• Support client adoption through documentation, training, and post-implementation support.
• Contribute reusable assets, standards, and best practices to the Data and AI consulting practice.
• Maintain accountability for deliverables, proactively managing risks, dependencies, and quality.
• Provide ongoing support for post-implementation activities, including troubleshooting, minor adjustments, and client queries.

Qualifications

• Bachelor’s degree in Analytics, UX Design, Information Design, Computer Science, or equivalent practical experience.
• Three or more years of experience delivering enterprise analytics solutions using Power BI, including semantic modeling, DAX, and performance optimization.
• Strong understanding of data modeling concepts and experience working with relational data sources using SQL or equivalent query languages.
• Demonstrated application of human centered design principles in analytics or visualization solutions.
• Experience working in a consulting or enterprise delivery environment with direct client engagement.
• Ability to independently manage multiple deliverables across concurrent projects.
• Strong communication skills with the ability to explain technical concepts to both technical and nontechnical audiences.
• Understanding of data governance, security, and privacy concepts in analytics solutions.
• Commitment to continuous learning in Microsoft cloud and analytics technologies.
• Eligible to work in environments handling sensitive government or healthcare data (background check may be required).
• Commitment to continuous learning and professional development in modern Microsoft cloud technologies and consulting practices.

Requirements

• Microsoft Certified: Power BI Data Analyst Associate (PL 300).
• Microsoft Fabric Analytics Engineer Associate (DP 600) or obtain within the first year.
• Experience working with Microsoft Fabric and Azure analytics services.
• Advanced proficiency with Tabular Editor and semantic model lifecycle management.
• In-depth understanding of WCAG 2 or 508 accessibility standards and their application in data reporting solutions.
• Experience creating custom visuals using Deneb or similar frameworks.
• Familiarity with ETL concepts, dimensional modeling, and enterprise analytics architectures.
• Experience supporting analytics solutions in regulated or security conscious environments.
• Familiarity with Microsoft Fabric and its integration with Power BI for advanced analytics.
• Advanced proficiency in Tabular Editor or similar tools for semantic model design and management.
• Understanding of data engineering principles, including ETL processes, dimensional modeling, and integration with cloud data platforms.
• Experience supporting large-scale enterprise data projects, including secure data handling and compliance requirements.
• Knowledge of Azure Data Lake Storage, Synapse Analytics, Azure Databricks, and related Microsoft cloud ecosystem components.
• Exposure to data governance practices and the implementation of role-based access controls in analytics solutions.
• Exposure to managing access to data leveraging Row Level Security (RLS) and role-based access to reporting artifacts through Power BI apps with internal and external stakeholders.

Benefits

• Medical, vision, dental, 401K, and flexible spending.