Role Summary
We are looking for an accomplished PowerBi Solution architect to architect and drive scalable, insight-rich analytics solutions across the enterprise. This role sits at the intersection of data engineering, business intelligence, and solution architecture—ideal for a candidate with mastery of modern visualization tools, modeling strategies, and end-to-end data integration.
️ Key Responsibilities
- Architect and implement scalable Power BI solutions that span data modeling, integration, visualization, and performance tuning
- Design and lead the development of enterprise-grade data models using Star, Snowflake, and composite architecture
- Lead the integration of cloud-based data warehouse platforms including Oracle ADW and Snowflake
- Lead the development of scalable, interactive dashboards using Power BI, driving self-service analytics across business units
- Develop ETL and ELT pipelines to ingest and transform structured, semi-structured, and API-driven data sources
- Implement automated data ingestion and transformation using Python and shell scripting for performance and reliability
- Handle and harmonize data from diverse API sources across applications, platforms, and third-party services
- Deliver interactive dashboards and storytelling experiences tailored for executives, analysts, and operational teams
- Optimize semantic layers, DAX calculations, and deployment pipelines for reusability and governance
- Mentor BI developers and analysts, setting architectural standards and fostering collaboration across analytics teams
- Collaborate with cross-functional teams to translate strategic business goals into robust analytics solutions
✅ Required Qualifications
7+ years in Power BI development and analytics Engineering, with 3+ years in architecture leadership rolesStrong command of DAX, M Query, and performance tuning best practicesDeep experience in data modeling (Star, Snowflake, composite) and cross-platform architectureHands-on expertise in Oracle ADW, Snowflake, and API-based data ingestionProficiency in Python, shell scripting, and automation of analytics pipelinesStrong background in ETL / ELT development, data quality assurance, and deployment orchestrationDemonstrated success in solution architecture across cloud ecosystems such as Azure, Oracle OCIPreferred Skills
Experience with Power BI Premium capacity management and deployment pipelinesExperience with DAX, M language, and performance tuning techniqueExperience integrating third-party BI tools, data lakehouses, and stream processing servicesEffective communicator capable of translating technical architecture into business valueExposure to MS Fabric and Azure Data Factor