Power BI Architect.
Argyllinfotech
Role : Power BI Architect
Location: Plainsboro, NJ (5 days in NJ office)
Customer- Novo Nordisk
Qualifications
Required Experience
Key Responsibilities
- Design and architect scalable Power BI solutions for enterprise-wide reporting and analytics.
- Collaborate with business stakeholders, commercial teams, patient services teams, and IT leadership to translate business requirements into analytics solutions.
- Lead dashboard and semantic model design, ensuring performance, scalability, governance, and security.
- Define BI architecture, data models, KPI frameworks, and reporting standards across multiple business functions.
- Drive migration and modernization initiatives from legacy BI platforms to Power BI.
- Work closely with Data Engineering teams on Snowflake, Azure, AWS, Databricks, or similar cloud data platforms.
- Implement Row-Level Security (RLS), governance frameworks, deployment pipelines, and enterprise reporting standards.
- Provide technical leadership, code reviews, mentoring, and best practices to BI development teams.
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Present analytics solutions and business insights to senior leadership and business stakeholders.
Technical Skills
- Expert in Power BI Architecture, DAX, Power Query, Data Modeling
- Experience with Tabular Models and Semantic Layer design
- Strong SQL expertise
- Experience with Snowflake, Azure Synapse, Databricks, Redshift, or similar platforms
- Knowledge of Power BI Service Administration and Governance
- Experience with CI/CD, Deployment Pipelines, Git Integration
- Understanding of Data Warehousing concepts and dimensional modeling
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Experience integrating AI capabilities such as Power BI Copilot, Fabric AI, or Generative AI solutions is highly desirable
Client & Leadership Responsibilities
- Act as a trusted advisor to business and technology stakeholders.
- Lead requirement workshops, solution discussions, and architecture reviews.
- Recommend innovative BI and AI-driven solutions to improve business decision-making.
- Drive executive-level conversations around KPI definitions, reporting strategy, and analytics roadmap.
- Support presales activities including solution estimation, architecture proposals, and client presentations.
- Manage stakeholder expectations and provide regular updates on delivery progress and risks.
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