Lead Analytics Architect

7 days ago

Chennai, Tamil Nadu, India Danfoss Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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 landscape.


Job 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 needs.


Background & 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.

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