Cloudera Technical Architect
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About the Role
**Job Title** – Cloudera Technical Architect **Company** – TCS (MEA) **Location** – Jeddah, Saudi Arabia **Job type** – Full time **About Us :** Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting\-led, cognitive powered, integrated portfolio of business, techno
Key Skills for This Role
Full Job Posting
Company
– TCS (MEA)
– Jeddah, Saudi Arabia
Job type
– Full time
About Us
Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years.
TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions.
This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development.
A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries.
For more information, visit www.tcs.com and follow TCS news at @TCS_News.
Platform Architecture & Design
- Design and govern the
Cloudera Cdp
- architecture in alignment with Data Lakehouse target state.
- Define and validate architectural patterns for
- data ingestion, processing, and analytics
- workloads.
- Ensure proper implementation of
Medallion Architecture (Bronze, Silver, Gold)
on Cloudera.
Core Cloudera Components
- Architect and oversee solutions using:
- **HDFS**
- for distributed storage
- **Apache Spark**
- for large-scale data processing
- **Hive and Impala**
- for data warehousing and analytics
- **Kafka**
- for real-time and near real-time ingestion
- NiFi
- Apache Ozone
- HBase
- Kudu
- Spark
- Hive
- Impala
- Solr
- Phoenix
• Hive Meta Store
- Apache Iceberg
- Hue
- Cloudera AI
- Apache Knox
- Apache Ranger
- Ensure efficient interaction between these components and upstream/downstream platforms.
Performance & Scalability
- Lead
- performance tuning and optimization
- across:
- Spark jobs and execution plans
- Hive/Impala queries
- YARN resource allocation
- Define cluster sizing, capacity planning, and workload segregation strategies.
- Address performance bottlenecks and ensure reporting and analytics SLAs are met.
Security & Access Control
- Architect and enforce security standards using:
- **Apache Ranger**
- for authorization and data access control
- **Kerberos**
- for authentication
- Ensure compliance with data security, masking, and encryption requirements.
- Support auditability, traceability, and regulatory compliance needs.
Phase 1 Remediation Support
- Review and validate existing Cloudera implementations inherited from Phase 1.
- Identify configuration gaps, inefficiencies, or architectural anti-patterns.
- Define and guide remediation, rebuild, or optimization activities where required.
Operations, Monitoring & Stability
- Define monitoring, alerting, and operational best practices using
Cloudera Manager
- .
- Support high availability, fault tolerance, and recovery mechanisms.
- Ensure ≥99.9% platform uptime and stability under production workloads.
Collaboration & Governance
- Work closely with Enterprise/Data Architects, Data Engineers, and Platform teams.
- Participate in design reviews, architectural governance forums, and knowledge transfer sessions.
- Provide technical guidance and oversight to development and operations teams.
Technical Skills
- **Cloudera Data Platform (CDP )**
- architecture and administration
- Deep expertise in:
- HDFS
- Apache Spark
• Hive & Impala
- Apache Kafka
- NiFi
- Apache Ozone
- HBase
- Kudu
- Spark
- Solr
- Phoenix
• Hive Meta Store
- Apache Iceberg
- Hue
- Cloudera AI
- Apache Knox
- Apache Ranger
- **Security frameworks**
- :
- Apache Ranger
- Kerberos
Performance & Resource Management
- Strong experience with:
- YARN configuration and tuning
- Spark performance optimization
- Query optimization and workload management
Delivery & Operations
- Experience designing and operating large-scale production Cloudera clusters
- Knowledge of monitoring, logging, and operational best practices
- Exposure to BFSI regulatory and data governance requirements is preferred.
- Thank you for your interest in applying for this position with TCS.
- We will review your application and will get back to you if we are considering your interest in this opportunity.
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