Lead Analytics Architect
7 days ago
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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