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Lead design and delivery of scalable data architectures and pipelines on cloud platforms (AWS/Azure/GCP). Build logical and physical data models, implement batch/streaming integration patterns, enforce CI/CD and DataOps, mentor junior consultants, manage stakeholders, and contribute to business development and thought leadership.

Lead client engagements to design and deliver scalable data architectures and pipelines using cloud and distributed systems. Build data models, implement batch/streaming integration patterns, enable CI/CD and DataOps, mentor junior consultants, drive business development, and contribute to thought leadership and internal capability building.

Lead and grow the Data team, design cloud ML architectures, build production-grade ML/AI solutions, guide data scientists to productionize models, participate in client projects, train and mentor team members, and represent Sia externally through talks and publications.

Build and maintain cloud-based data platforms and ETL pipelines, containerize and orchestrate services, implement CI/CD and IaC, support ML infrastructure, and collaborate with clients and data scientists.

Lead client engagements to design and deliver scalable data architectures and pipelines using cloud platforms and distributed frameworks. Implement batch and streaming integration patterns, data modeling, CI/CD and DataOps practices. Mentor junior consultants, drive business development and thought leadership, and manage stakeholders to ensure successful delivery from strategy through execution.

Support data-science projects and SaaS product development by building and operating cloud infrastructure, containerization and Kubernetes clusters, Python automation and microservices, CI/CD pipelines, cost monitoring, and advising on architecture and governance.

Build and operate data infrastructure and ML-supporting platforms for clients and internal products. Work on cloud architecture (GCP/AWS/Azure), containerization (Docker, Kubernetes), ETL/data pipelines, CI/CD, IaC, and application security to deploy and maintain data-driven solutions.

Develop and optimize React-based user interfaces for AI-powered SaaS, ensuring performance, cross-browser compatibility, and accessibility. Collaborate with backend teams and designers, write unit tests and perform code reviews, and manage CI/CD. Use IaC (Terraform, Helm) and deploy/manage applications on GCP/AWS/Azure.

Lead design and delivery of scalable data architectures and pipelines across cloud platforms. Implement batch/streaming integrations, data modeling, and DataOps/CI-CD practices. Mentor consultants, manage client engagements, drive business development, and contribute to internal capability building and external thought leadership.

Lead and grow the data team, design ML architectures and production-grade ML/AI solutions, guide data scientists to productionize models, run client engagements, deliver trainings and public presentations.