Architect - Data (BI)

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

• Define and own the overall Power BI solution architecture, including data modeling standards, semantic layer design, and governance frameworks.
• Lead the enterprise BI modernization strategy, including the migration from Tableau to Power BI Cloud, ensuring scalability, reusability, and alignment with enterprise data architecture principles.
• Collaborate with Data Engineering and Cloud Architecture teams to establish robust data pipelines, governance, and security models across GCP, Azure, AWS, and on-premise environments.
• Establish and enforce best practices for Power BI development, deployment, and lifecycle management (including CI/CD pipelines for BI).
• Drive adoption of self-service BI capabilities across business units while maintaining data governance and consistency.

• Design end-to-end BI architectures—from data ingestion and transformation to visualization and reporting.
• Define and maintain data modeling standards for enterprise-wide consistency (including star/snowflake schema, semantic models, and measures using DAX).
• Oversee data integration efforts across BigQuery, Azure Synapse, Data Lakes, and Data Warehouses, ensuring performance, scalability, and data quality.
• Provide architectural oversight for report migration from Tableau to Power BI, including performance optimization and alignment to business KPIs.
• Performance monitoring, fine tuning and optimization of dashboard

• Serve as the primary BI technical advisor to business stakeholders, ensuring alignment of BI solutions with business strategy and KPIs.
• Lead, mentor, and guide BI developers and analysts to elevate solution design, technical depth, and delivery quality.
• Partner with enterprise architects, data engineers, and business leaders to design cross-functional data strategies.
• Identify risks and propose mitigation strategies for BI solution delivery, scalability, and adoption.

• 10+ years of experience in Business Intelligence, Data Architecture, or Analytics, with at least 5+ years in a BI leadership or architecture role.
• Proven experience designing enterprise-scale Power BI architectures, including dataset design, semantic modeling, row-level security, and governance.
• Strong expertise in Power BI (Cloud Service), DAX, Power Query, and data modeling best practices.
• Hands-on experience in migrating BI assets from Tableau (or similar tools) to Power BI.
• Proficiency in SQL and data transformation for large-scale data environments.
• Experience with cloud-based data ecosystems, Google Cloud Platform (BigQuery), Azure, AWS, and modern Data Lakes/Warehouses.
• Deep understanding of ETL/ELT pipelines, data integration, and modern data architecture frameworks.
• Proven ability to architect scalable and performant BI environments, ensuring security, governance, and maintainability.
• Excellent leadership, communication, and stakeholder management skills, with the ability to bridge technical and business teams.
• Demonstrated ability to define BI standards, governance, and architecture frameworks across a large enterprise.

• Experience with CI/CD pipelines for Power BI or other BI platforms.
• Knowledge of Agile methodologies and experience in leading BI delivery in agile environments.
• Microsoft Certified: Power BI Data Analyst Associate preferred.
• Understanding of data security and compliance standards in cloud BI environments.

• A scalable, secure, and well-governed Power BI ecosystem that replaces legacy BI tools.
• Enterprise-wide adoption of Power BI following defined standards and best practices.
• Improved data accessibility and decision-making through well-architected semantic layers and curated datasets.
• Streamlined BI delivery through automation, CI/CD integration, and standardized development frameworks.