Danfoss - Lead Analytics Architect - Azure Databricks / Power BI

Job Description :

We are seeking a highly skilled and passionate Lead Analytics Architect to lead the design and delivery of scalable, high-impact analytics solutions across our organization.

This role blends architectural leadership with hands-on technical expertise and strong stakeholder engagement.

The ideal candidate will be a thought leader with a solid grasp of modern data technologies including SAP, Databricks, Power BI, Google Analytics, and cloud platforms and will play a pivotal role in shaping our analytics Responsibilities :

• Lead the development of enterprise-grade analytics solutions, ensuring alignment with both current and future business needs.
• Architect with a modular, reusable approach across platforms including Databricks, SAP, and cloud environments.
• Work closely with business teams to map requirements to actionable reporting and analytics solutions.
• Effectively translate complex business problems into scalable data strategies.
• Engage directly in solution development (e.g., data modeling, pipeline design, dashboarding in Power BI), while overseeing and guiding development teams to ensure high standards and efficient delivery.
• Build and maintain reference architectures and frameworks that promote scalability, maintainability, and cross-solution consistency.
• Explore and evaluate emerging tools and technologies relevant to analytics, data processing, and visualization; recommend strategic adoption based on fit and value.
• Define and promote architectural standards, coding practices, and solution guidelines to ensure data quality, security, and performance.
• Stay ahead of industry trends to ensure our architecture remains modern, efficient, and responsive to changing & Skills :
• Strong experience designing and implementing analytics solutions using Databricks, SAP, Power BI, and Google Analytics.
• Proven track record with cloud data platforms (e.g., Azure, AWS, or GCP) and modern data technologies.
• Deep expertise in data architecture, engineering, modeling, and visualization.
• Hands-on experience building data pipelines, transformation logic, and data products.
• Excellent communication skills, with the ability to simplify complex topics for diverse audiences.
• Strong collaboration skills and experience working in global, cross-functional teams.
• Proactive, entrepreneurial mindset with a strong sense of ownership and initiative.
• Familiarity with DevOps / DataOps principles and CI / CD for data.
• Strategic thinker with a deep passion for technology and continuous innovation.
• Advocate for user-centric design and data-driven decision-making.

(ref : hirist.tech)