Sr. Data Platform Engineer in Bangalore, भारत

Thermo Fisher Scientific seeks a Senior Data Platform Engineer with 10+ years of analytics platform experience and 5+ years of hands-on Databricks expertise. This role involves designing, building, and operating secure, scalable data platforms that deliver reliable data, AI, and analytics solutions across the organization using modern cloud technologies.

Responsibilities

• Configure and manage Databricks workspaces, clusters, policies, and environments; implement security using Unity Catalog and RBAC
• Build and maintain scalable ETL/ELT pipelines and Lakehouse solutions; optimize Spark workloads for performance and cost
• Develop and evaluate production-ready AI, machine learning, and generative AI solutions using MLflow and LLMs
• Create analytical datasets, dashboards, and self-service analytics solutions aligned with business requirements and governance standards
• Establish monitoring, logging, and operational support; collaborate across teams to define Databricks standards and best practices

Requirements

• 10+ years professional experience building analytics platforms; 5+ years hands-on Databricks experience; Databricks certification required
• Production expertise with Databricks, Apache Spark/PySpark, Python, SQL, Delta Lake, and scalable ETL/ELT pipelines
• Cloud platform experience (Azure, AWS, or Google Cloud) with IAM/RBAC, secrets management, and secure connectivity
• Terraform or Infrastructure-as-Code proficiency, CI/CD practices, and source control experience
• MLflow and AI/ML/GenAI delivery experience including model lifecycle, LLMs, embeddings, vector search, and RAG
• Databricks SQL and BI tools experience (Power BI, Tableau, or Looker) with semantic models and KPIs
• Strong troubleshooting, performance optimization, monitoring, and production-support capabilities