[Hiring] Lead/Architect @Sparix Global.

Role Description

Experience: Range 4-12 Years

• Tier 2 (4-8 years): SSE
• Tier 1 (9-12 Years): Lead/ Architect

Location: Preferred Chennai / Hyderabad, Pune, Bangalore, Gurgaon or Mumbai (once a month/2 months)

Note: Need UAN History, Name number and complete address during submission of profile.

JD:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• Proven platform administration of data and analytics infrastructure.
• Significant hands-on experience managing and optimizing Databricks environments, including:
  • Cluster administration
  • Workspace management
  • Platform integrations
• Deep working knowledge of AWS data and analytics services (e.g. EC2, S3, IAM, Glue, Lambda), encompassing:
  • Deployment
  • Security
  • Resource management
• Proven experience deploying and managing cloud platforms using infrastructure-as-code tools (e.g. Terraform, CloudFormation).
• Demonstrated experience working within an agile/scrum delivery model, collaborating within cross-functional teams to deliver platform improvements and solutions.
• Strong capability to diagnose and resolve technical issues in Databricks and AWS; ability to communicate solutions clearly.
• Strong knowledge of FinOps for cloud cost optimization.
• Understanding of data privacy, audit requirements, and regulatory compliance (e.g. GDPR, HIPAA) in cloud platforms.
• Experience supporting cross-functional teams in delivering analytics outcomes.
• Experience working in the pharmaceutical, biotech, or healthcare industry.
• Experience working within a commercial domain.
• Understanding of datalake/lakehouse and medallion architecture concepts.
• Certifications in AWS or Databricks platform administration.
• Experience supporting agentic platforms or frameworks, such as platforms for autonomous AI agents, orchestration frameworks, or multi-agent systems.
• Advanced knowledge of Databricks security, workspace orchestration, and performance optimization.
• Experience supporting large-scale analytics or AI workloads in an enterprise cloud environment.
• Prior involvement in platform migrations or scaling advanced analytics capabilities within global organizations.
• Experience working within an MLOps team, supporting the deployment, monitoring, and operationalization of machine learning models in production environments.
• Working knowledge of ML frameworks, libraries, and technologies (e.g. TensorFlow, PyTorch, scikit-learn, XGBoost, MLflow).

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• Certifications in AWS or Databricks platform administration.

Requirements

• Experience: Range 4-12 Years
• Location: Preferred Chennai / Hyderabad, Pune, Bangalore, Gurgaon or Mumbai (once a month/2 months)
• Note: Need UAN History, Name number and complete address during submission of profile.

Company Description