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