Senior Data Architect

As a Data Architect with 12+ years of experience, you will play a crucial role in leading the design and implementation of modern data platforms to support AI/ML, Analytics, NLP, and GenAI workloads. Your expertise in data architecture, technical skills, and leadership abilities will be instrumental in shaping the data strategy of the company. **Key Responsibilities:** - **Architectural Leadership:** - Design and implement scalable, secure, and high-performance data architectures for AI/ML, analytics, and real-time data processing. - Architect data platforms for ML experimentation, training, and deployment across various domains like classical ML, deep learning, NLP, and GenAI. - Lead the development of data lakes, feature stores, and analytical data marts. - Define and enforce architectural standards, governance, and best practices to ensure alignment with business goals. - Collaborate with cross-functional teams to integrate data architecture with the overall business strategy. - **Technical Expertise & Experience:** - Translate analytical and AI/ML requirements into scalable data infrastructure and pipelines. - Develop end-to-end ML pipelines covering ingestion, feature engineering, training, deployment, and monitoring. - Hands-on experience with ML algorithms, Deep Learning, NLP, and Generative AI solutions. - Implement DevOps practices and ensure code quality, modularity, and reusability. - Proficiency in working with technologies like Spark, Kafka, Delta Lake, NoSQL databases, and Microsoft Azure ecosystem. **Required Qualifications:** - 12+ years of experience in Data Architecture, Data Engineering, and Data Science. - Strong programming skills in Python, SQL, and scripting languages. - Deep expertise in data modeling, ETL/ELT, and distributed computing. - Hands-on experience with ML frameworks, NLP libraries, GenAI tools, and DevOps practices. - Expertise in Microsoft Azure ecosystem and familiarity with MLOps and model lifecycle management. **Preferred Skills:** - Azure certifications such as Solutions Architect, Data Scientist Associate. - Experience with data mesh, real-time analytics, and streaming architectures. - Knowledge of data privacy regulations and exposure to AI/ML infrastructure and GenAI safety frameworks. If you are a visionary leader passionate about driving data innovation and possess the required skills and experience, we would love to connect with you. Join us in shaping the future of data architecture and making a meaningful impact in the field of AI/ML, NLP, and GenAI.,