Power BI Architect
23 hours ago
We are ValueLabs, a global technology consulting firm that helps businesses drive innovation and growth through cutting-edge solutions. Our team is seeking an experienced Power BI Architect to lead the design, development, and implementation of our technical architecture.
About the Role:
- Job Title: Power BI Architect - Enterprise Data Strategist
- Location: Hyderabad
- Estimated Salary: ₹20,00,000 - ₹30,00,000 per annum
About You:
As a seasoned Technical Architect, you will be responsible for ensuring that our technology stack aligns with our business goals and objectives. Your expertise in designing and developing scalable, secure, and high-performance Power BI solutions will enable us to deliver data-driven insights and drive business decisions.
You will work closely with cross-functional teams, including data engineering, data science, and business stakeholders, to ensure alignment and effective solution delivery. Your excellent communication skills, coupled with your ability to stay current with industry trends, will make you an invaluable asset to our organization.
Your Key Responsibilities:
- Design and Develop Power BI Solutions: Design and develop scalable, secure, and high-performance Power BI solutions that meet business requirements and user needs.
- Data Modeling and DAX Development: Develop and maintain data models and DAX formulas to support business intelligence and analytics requirements.
- Data Architecture and Governance: Collaborate with stakeholders to design and implement data architecture and governance frameworks that ensure data quality, security, and compliance.
- Power BI Implementation and Deployment: Plan, implement, and deploy Power BI solutions, including data ingestion, processing, and visualization.
- Troubleshooting and Support: Troubleshoot and resolve technical issues related to Power BI, DAX, and data modeling.
- Stay Up-to-Date with Industry Trends: Stay current with industry trends, new features, and best practices in Power BI, DAX, and data modeling.
- Collaborate with Cross-Functional Teams: Collaborate with cross-functional teams, including data engineering, data science, and business stakeholders, to ensure alignment and effective solution delivery.
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