Senior Data Platform System Engineer
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Ensure
high availability and reliability
of the enterprise data platform (Cloudera and Talend Big Data) Deliver
scalable and performant data infrastructure
supporting batch and near real-time workloads Enable
secure and compliant data operations
aligned with enterprise and regulatory requirements Improve
platform automation and operational efficiency
through DevOps and Infrastructure-as-Code Provide
platform support and partnership
to data engineering, analytics, and business teams Key Responsibilities Data Platform Engineering & Operations Design, deploy, and manage large-scale data platform environments (primarily Cloudera and Talend Big Data) Operate and optimize Hadoop ecosystem components (HDFS, Hive, Spark, HBase, Impala, Iceberg, Ozone) Manage cluster lifecycle including provisioning, scaling, patching, and upgradesEnsure platform uptime, stability, and service reliability through proactive monitoring and maintenance Performance, Scalability & Capacity Management Monitor workload performance and optimize data processing efficiencyPerform capacity planning to support increasing data volumes and usageTroubleshoot performance bottlenecks across compute, storage, and query layers Platform Delivery & Execution Planning Plan and coordinate execution of platform upgrades, patching, and scaling activitiesManage deployment schedules and ensure minimal service disruptionCoordinate cross-team dependencies (infrastructure, network, security)Track and report execution progress against platform roadmap DevOps, Automation & Platform Engineering Implement Infrastructure-as-Code using tools such as Terraform and AnsibleDesign and maintain CI/CD pipelines for platform configuration Automate platform provisioning, deployment, and operational workflowsImprove observability through monitoring, alerting, and logging practices Security, Governance & Compliance Implement and manage platform security controls including authentication (Kerberos), authorization (e.g. Ranger), and encryptionEnsure compliance with enterprise data governance, security policies, and regulatory requirementsSupport auditability, access control, and data protection mechanisms Collaboration & Platform Enablement Work closely with data engineers, data scientists, and business teams to enable data solution delivery Partner with infrastructure, network, and security teams to ensure platform integration and stabilityProvide guidance, troubleshooting, and best practices to users of the platformDocument platform architecture, processes, and operational procedures Skills &Experience 5- 10 years of experience in data platform engineering, big data operations, or infrastructure engineering Hands-on experience managing big data platforms (Cloudera CDP, Hadoop ecosystem) Deep understanding of Hadoop components: HDFS, Hive, Spark, HBase, and related services Experience with cluster operations, performance tuning, and troubleshooting Proficiency in automation and scripting (Python, Bash, Terraform, Ansible) Experience with CI/CD pipelines and DevOps practices Solid understanding of data platform security and access control concepts Analytical and problem-solving skills with a proactive mindset Ability to work in a fast-paced, cross-functional environment Good communication skills with ability to translate technical topics to stakeholders Ownership mentality with focus on platform reliability and continuous improvement Good to have Experience with Databricks, Talend, or hybrid data platforms Knowledge of containerization and orchestration Experience with streaming platforms (e.g. Kafka) or real-time processing Familiarity with modern data lake-house concepts (e.g. Iceberg, Delta) Exposure to cloud or hybrid environments (Azure) Navneet
Goel | EA License No. : 02C3423 | Reg No. R1982194
high availability and reliability
of the enterprise data platform (Cloudera and Talend Big Data) Deliver
scalable and performant data infrastructure
supporting batch and near real-time workloads Enable
secure and compliant data operations
aligned with enterprise and regulatory requirements Improve
platform automation and operational efficiency
through DevOps and Infrastructure-as-Code Provide
platform support and partnership
to data engineering, analytics, and business teams Key Responsibilities Data Platform Engineering & Operations Design, deploy, and manage large-scale data platform environments (primarily Cloudera and Talend Big Data) Operate and optimize Hadoop ecosystem components (HDFS, Hive, Spark, HBase, Impala, Iceberg, Ozone) Manage cluster lifecycle including provisioning, scaling, patching, and upgradesEnsure platform uptime, stability, and service reliability through proactive monitoring and maintenance Performance, Scalability & Capacity Management Monitor workload performance and optimize data processing efficiencyPerform capacity planning to support increasing data volumes and usageTroubleshoot performance bottlenecks across compute, storage, and query layers Platform Delivery & Execution Planning Plan and coordinate execution of platform upgrades, patching, and scaling activitiesManage deployment schedules and ensure minimal service disruptionCoordinate cross-team dependencies (infrastructure, network, security)Track and report execution progress against platform roadmap DevOps, Automation & Platform Engineering Implement Infrastructure-as-Code using tools such as Terraform and AnsibleDesign and maintain CI/CD pipelines for platform configuration Automate platform provisioning, deployment, and operational workflowsImprove observability through monitoring, alerting, and logging practices Security, Governance & Compliance Implement and manage platform security controls including authentication (Kerberos), authorization (e.g. Ranger), and encryptionEnsure compliance with enterprise data governance, security policies, and regulatory requirementsSupport auditability, access control, and data protection mechanisms Collaboration & Platform Enablement Work closely with data engineers, data scientists, and business teams to enable data solution delivery Partner with infrastructure, network, and security teams to ensure platform integration and stabilityProvide guidance, troubleshooting, and best practices to users of the platformDocument platform architecture, processes, and operational procedures Skills &Experience 5- 10 years of experience in data platform engineering, big data operations, or infrastructure engineering Hands-on experience managing big data platforms (Cloudera CDP, Hadoop ecosystem) Deep understanding of Hadoop components: HDFS, Hive, Spark, HBase, and related services Experience with cluster operations, performance tuning, and troubleshooting Proficiency in automation and scripting (Python, Bash, Terraform, Ansible) Experience with CI/CD pipelines and DevOps practices Solid understanding of data platform security and access control concepts Analytical and problem-solving skills with a proactive mindset Ability to work in a fast-paced, cross-functional environment Good communication skills with ability to translate technical topics to stakeholders Ownership mentality with focus on platform reliability and continuous improvement Good to have Experience with Databricks, Talend, or hybrid data platforms Knowledge of containerization and orchestration Experience with streaming platforms (e.g. Kafka) or real-time processing Familiarity with modern data lake-house concepts (e.g. Iceberg, Delta) Exposure to cloud or hybrid environments (Azure) Navneet
Goel | EA License No. : 02C3423 | Reg No. R1982194