Role Overview :

As a Fabric Enterprise Azure Data Architect, you will serve as the technical visionary responsible for designing and implementing scalable, high-performance data ecosystems that drive enterprise-wide decision-making. You will lead the architectural strategy for complex data landscapes, bridging the gap between raw data ingestion and actionable business intelligence.

Working closely with cross-functional engineering teams, product owners, and executive stakeholders, you will ensure that our data platforms are not only robust and secure but also aligned with long-term business objectives.

Your work will directly influence how the organization leverages data to gain a competitive edge, ensuring seamless integration across the Microsoft Fabric ecosystem to deliver reliable, real-time insights to global users.

Key Responsibilities :

- Design and architect end-to-end data solutions using Microsoft Fabric and Azure services to ensure high availability, scalability, and performance for enterprise-level data operations.

- Lead the migration and modernization of legacy data warehouses into cloud-native architectures, enabling stakeholders to access unified and governed data assets.

- Define data modeling standards and integration patterns to ensure consistency, quality, and reusability across diverse business units.

- Collaborate with data engineering and analytics teams to optimize data pipelines, ensuring efficient processing and transformation of large-scale datasets.

- Establish robust data governance and security frameworks to maintain compliance and data integrity across the entire cloud ecosystem.

- Mentor senior engineering talent and provide technical guidance on best practices for cloud architecture, fostering a culture of technical excellence and innovation.

Required Skillset :

- Demonstrated expertise in designing complex cloud architectures using Azure Data Factory, Synapse Analytics, and Microsoft Fabric to solve intricate business challenges.

- Advanced proficiency in data modeling, data warehousing concepts, and building scalable data lakes that support both batch and real-time processing requirements.

- Proven ability to write high-quality code in Python and SQL for complex data transformations, coupled with deep experience in Databricks for large-scale data processing.

- Strong analytical mindset with the ability to translate complex technical requirements into strategic roadmaps for non-technical stakeholders.

- Exceptional communication skills, with the ability to lead cross-functional workshops and influence decision-making at the leadership level.

- Solid understanding of Power BI for enterprise reporting and the ability to integrate visualization layers seamlessly with underlying data architectures.

- Minimum of 12 - 15 years of professional experience in data architecture and engineering, with a track record of delivering large-scale enterprise projects.

- Ability to thrive in a hybrid work environment across Bangalore and Pune, demonstrating flexibility and a proactive approach to collaborative problem-solving.