BI Platform Architect with pharma experience is a must

BI Platform Architect

Location: Princeton, New Jersey - Hybrid role

Duration: 12 Months, Extendable

Role Overview:
The BI Platform Architect will be responsible for defining, designing, and implementing the overall architecture of the Business Intelligence (BI) ecosystem. This role focuses on building scalable, secure, and high-performance BI platforms that integrate data from multiple sources, support advanced analytics, and enable self-service reporting across the enterprise. The architect will work closely with data engineers, BI developers, and business stakeholders to ensure alignment of BI strategy with organizational goals.

Key Responsibilities:

• Design and implement enterprise BI architecture, ensuring scalability, performance, and data governance.
• Define standards and best practices for BI development, data modeling, and visualization.
• Lead the selection, configuration, and integration of BI tools (Tableau, Power BI, Qlik, Spotfire, etc.).
• Oversee data flow design across data warehouses, data lakes, and visualization layers.
• Collaborate with data engineering teams to ensure optimized data pipelines and model structures.
• Establish security, access control, and compliance frameworks for BI environments.
• Drive modernization initiatives, including migration to cloud-based BI platforms.
• Support automation, monitoring, and performance tuning across the BI ecosystem.
• Mentor BI developers and analysts on architectural standards and reusable frameworks.
• Partner with business and IT leaders to define BI strategy and roadmap.

Required Skills and Qualifications:

• Strong experience in BI architecture and data integration design.
• Hands-on expertise with leading BI platforms (Power BI, Tableau, Qlik, or Spotfire).
• Proficiency in SQL, data modeling (star/snowflake schemas), and ETL/ELT design.
• Deep understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, Databricks).
• Experience with cloud BI and data platforms (AWS, Azure, Google Cloud Platform).
• Knowledge of data governance, metadata management, and security best practices.
• Strong communication and stakeholder management skills.

Preferred Qualifications:

• Experience with API integrations, automation, and CI/CD for BI deployments.
• Exposure to machine learning integration within BI platforms.
• Certification in BI or cloud technologies (e.g., AWS Certified Data Analytics, Azure Data Engineer).
• Prior experience in leading BI modernization or enterprise transformation programs.