Senior Hadoop Architect: HDFS/Ozone Data Platform

Tata Consultancy Services; Plano (TX); On-site; USD 95,000 - 115,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Maternal & Parental Leaves

401K Plan

Certification & Training Reimbursement

Job summary

Tata Consultancy Services is seeking an experienced Hadoop Architect to monitor, optimize, and scale large Hadoop clusters in a Texas-based environment. You will drive incident response, capacity planning, and platform maintenance while collaborating with application teams to ensure seamless data operations.

The role requires deep expertise in HDFS, Ozone, Hive, Spark, and CDP, with strong SQL/Python skills and a track record of enterprise production support.

Qualifications

• Bachelor's degree in Computer Science or equivalent.
• Minimum 10 years of experience in Hadoop administration and platform support.
• Strong expertise in HDFS, Ozone, Hive, Spark, and CDP.
• Proficient in SQL, Python, data validation and ETL processes.
• Familiarity with cloud platforms and monitoring tools.

Responsibilities

• Monitor and resolve HDFS and Ozone related issues.
• Investigate cluster performance, storage utilization, and capacity concerns.
• Manage quota requests, storage allocation, and capacity planning.
• Support platform maintenance and perform integration activities.
• Coordinate with application teams during incident and problem management.
• Create and maintain operational documentation, runbooks, and knowledge articles.

Skills

Hadoop Architect

HDFS

Ozone

Hive

Spark

Hive Metastore

CDP

SQL

Python

ETL

Shell scripting

Education

Bachelor of Computer Science

Tools

Cloudera Data Platform (CDP)

Cloudera Manager

Grafana

Prometheus

Splunk

Job description

Tata Consultancy Services is seeking an experienced Hadoop Architect to monitor, optimize, and scale large Hadoop clusters in a Texas-based environment. You will drive incident response, capacity planning, and platform maintenance while collaborating with application teams to ensure seamless data operations.

The role requires deep expertise in HDFS, Ozone, Hive, Spark, and CDP, with strong SQL/Python skills and a track record of enterprise production support.