Data & AI Senior Technical Architect

As a Senior Technical Architect with expertise in Databricks, Apache Spark, and modern data engineering architectures, you will play a crucial role in leading the architecture, design, and implementation of scalable data platforms and AI-powered applications for global clients. Your responsibilities will include: - Leading the architecture, design, and deployment of scalable data solutions using Databricks and the medallion architecture. - Guiding technical teams in building batch and streaming data pipelines using Spark, Delta Lake, and MLflow. - Collaborating with clients and internal stakeholders to understand business needs and translate them into robust data and AI architectures. - Designing and prototyping Generative AI applications using LLMs, RAG pipelines, and vector stores. - Providing thought leadership on the adoption of Agentic AI systems in enterprise environments. - Mentoring data engineers and solution architects across multiple projects. - Ensuring adherence to security, governance, performance, and reliability best practices. - Staying current with emerging trends in data engineering, MLOps, GenAI, and agent-based systems. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or related technical discipline. - 10+ years of experience in data architecture, data engineering, or software architecture roles. - 5+ years of hands-on experience with Databricks, including Spark SQL, Delta Lake, Unity Catalog, and MLflow. - Proven experience in designing and delivering production-grade data platforms and pipelines. - Exposure to LLM frameworks (OpenAI, Hugging Face, LangChain, etc.) and vector databases (FAISS, Weaviate, etc.). - Strong understanding of cloud platforms (Azure, AWS, or GCP), particularly in the context of Databricks deployment. - Knowledge or interest in Agentic AI frameworks and multi-agent system design is highly desirable. In addition to the technical skills required for this role, you will also need to demonstrate the following soft skills: - Strong communication and stakeholder management skills. - Ability to lead and mentor diverse technical teams. - Strategic thinking with a bias for action. - Comfortable with ambiguity and iterative development. - Client-first mindset and consultative approach. - Excellent problem-solving and analytical skills. Preferred Certifications: - Databricks Certified Data Engineer / Architect. - Cloud certifications (Azure/AWS/GCP). - Any certifications in AI/ML, NLP, or GenAI frameworks are a plus.,