Senior Specialist, Analytics Platform Engineer

Overview

Senior Analytics Platform Engineer role in a product-centric data and analytics organization, building and automating self-serve data science platform capabilities that support research and clinical teams.

What you'll do

• Build, configure, and customize capabilities within Data Science platforms (Domino Data Lab, Dataiku, Posit Connect/Workbench, and SAS) based on customer needs, including platform upgrades, modernization, and managing integrations (e.g., storage integrations, AI assistants).
• Implement and maintain platform automation using Terraform, Ansible, Git, and CI/CD pipelines for deployments on AWS infrastructure.
• Work hands-on within a multicultural agile team, participating in sprints, managing work via JIRA, and collaborating with Product Managers and Architects to translate business needs into technical solutions.
• Monitor platforms, troubleshoot complex issues, provide root cause analysis, and implement preventive measures to ensure enterprise-grade reliability, robustness, and disaster recovery readiness.
• Update and maintain accurate SDLC documentation for all deployments, ensuring configurations and processes meet strict organizational and industry compliance standards (e.g., GxP).
• Develop technical documentation, provide expert support to internal stakeholders, and enable new AI and ML capabilities within agreed timelines.
• Accurately estimate the effort required to deploy new capabilities and deliver them reliably within sprint cycles.

What you'll need

• Bachelor's degree in computer science, Information Technology, or a related field.
• Total 7 to 10 years of experience, with 3+ years of hands-on experience in platform engineering and IT infrastructure projects.
• Strong understanding and hands-on administrative experience with COTS Data Science platforms, particularly Domino Data Lab, Dataiku, Posit (Package Manager, Connect, Workbench), and SAS environments.
• Expert knowledge of the AWS cloud ecosystem, including EKS (Kubernetes), storage services, database services, and AI/ML cognitive services.
• Proven hands-on experience with Infrastructure as Code (Terraform, Ansible) and modern CI/CD practices (Git, Bitbucket, Artifactory) to automate infrastructure provisioning and routine administrative tasks.
• Proficiency in R and Python programming, data manipulation, and content creation (Shiny, Streamlit, Dash), alongside robust Linux Shell scripting or PowerShell skills.
• Solid experience working on Agile teams (Scrum framework, JIRA) with a deep understanding of rigorous SDLC processes, ideally within a regulated (Pharma/Healthcare) environment.
• Experience managing various Linux distributions (e.g., RHEL, Ubuntu) and implementing user authentication, access controls, and security policies.

Nice to have

• Experience with HPC environments and resource managers like SLURM.
• Deep knowledge of containerization platforms and orchestration (Docker, Kubernetes).
• Experience with SDLC and validating software in a pharmaceutical context.
• Familiarity with integrating modern AI coding assistants (e.g., GitHub Copilot, Claude Code) into data science workflows.
• Data Science Platform Administration (Dataiku, Domino, SAS Administration).
• R Programming.
• Agile and Scrum Methodologies.
• Experience with Data Platforms and User Provisioning Activities.

Details

• Location: Hyderabad (Hitec City Raidurg), Telangana, India.
• Flexible work arrangement: Hybrid.
• Travel: No travel required.
• Relocation: Domestic.
• Visa sponsorship: No.