As a Solutions Architect, you will be responsible for designing, planning, and implementing scalable, cloud-based, and on-premise data and ML architectures and backend services. Your role will involve driving innovation, optimizing customer KPIs, and mentoring other architects and technical leaders. Requirements 7+ years of experience in solutions architecture, with a strong focus on Big Data and cloud platforms (AWS, GCP, Azure) Excellent communication and problem-solving skills, with the ability to work across multiple projects and the ability to articulate complex technical concepts to both technical and non-technical audiences Technical sales or pre-sales experience with cloud and big data, and ML solutions Strong leadership and team collaboration abilities Strategic thinking with a focus on delivering measurable business value Proven ability to build strong relationships with customers and act as a trusted advisor Proficiency in data engineering and analytics, designing data pipelines and architectures using AWS, GCP, or Azure data stack Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions Proven experience with data lakes, data warehouses, and real-time data analytics Proven experience with microservice architecture and containerized deployment options Hands-on experience with Kubernetes, Docker, and containerized applications Proficiency in any of backend backend-related languages: TS, Java, Python, and others Solid understanding of machine learning and MLOps tools (PyTorch, SageMaker, MLFlow) Demonstrated ability to lead and mentor cross-functional teams Familiarity with agile methodologies Originally posted on Himalayas