Join our dynamic team as a Director, focusing on MS Dynamics CRM and driving innovation within Customer, Sales, and Service domains. This role is crucial for shaping the future of our customer engagement strategies and leveraging cutting-edge technology to achieve business excellence.

We are seeking a visionary leader to architect and implement advanced solutions that enhance our customer-facing operations and foster long-term growth. This position offers a unique opportunity to impact enterprise-level transformations.

Lead the design and delivery of enterprise data, cloud, analytics, and Generative AI solutions, ensuring alignment with strategic business objectives.

Develop robust technology roadmaps and modernization strategies to spearhead digital transformation and fuel business expansion.

Architect sophisticated data platforms and AI solutions, utilizing technologies such as Microsoft Fabric, Azure Databricks, Azure OpenAI, RAG, and conversational AI.

Spearhead Azure cloud migration, infrastructure modernization, and automation initiatives.

Engage collaboratively with senior stakeholders to deeply understand business requirements and translate them into scalable, effective technology solutions.

Continuously evaluate emerging cloud and AI technologies to identify opportunities for enhancing automation, modernization, and overall business performance.

Demonstrate extensive experience in enterprise architecture, solution design, and technical leadership across data engineering, cloud modernization, analytics, and AI domains.

Possess deep expertise in Microsoft Azure, including proficiency with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and cloud migration architecture.

Exhibit hands-on experience with Microsoft Fabric, data platforms, ETL/ELT processes, data modeling, and integration techniques.

Maintain a strong understanding of Generative AI, Azure OpenAI, RAG, conversational AI, and AI-driven automation principles.

Be proficient in programming languages and tools such as Python, SQL, PL/SQL, alongside experience with SQL Server, Oracle, and enterprise data engineering technologies.

Showcase a solid grasp of architecture principles, integration patterns, security best practices, governance frameworks, and performance optimization strategies.

An equivalent qualification to B.Tech/M.Tech is required, along with a minimum of 15 years of experience in enterprise architecture, data platforms, cloud modernization, and AI transformation. Proven success in leading large-scale projects, managing diverse teams, and interacting with senior client stakeholders is essential. A strong blend of technical architecture, delivery leadership, people management, and business development acumen is highly valued.