Cloudera Senior Architect Consultant

3 weeks ago


Sahibzada Ajit Singh Nagar, India Azalio Technologies Full time

Job description:

  • Architectural Design: Design and develop robust, scalable, and high-performance data solutions leveraging Cloudera Distribution including Apache Hadoop (CDH) or Cloudera Data Platform (CDP).
  • Platform Implementation: Lead the implementation and configuration of Cloudera platform components such as HDFS, Hive, HBase, Impala, Kafka, Spark, and Sentry, ensuring optimal performance and reliability.
  • Integration: Integrate Cloudera-based solutions with existing IT infrastructure and applications, ensuring seamless data flow and compatibility.
  • Data Management: Design and implement data management strategies including data ingestion, storage, processing, and governance.
  • Performance Optimization: Perform performance tuning, monitoring, and troubleshooting of Cloudera clusters to ensure efficient data processing and analytics.
  • Security and Compliance: Implement and enforce security measures, data privacy standards, and compliance requirements within the Cloudera environment.
  • Documentation and Reporting: Create technical documentation, architecture diagrams, and provide regular reporting on system performance and project status.
  • Collaboration: Work closely with cross-functional teams including developers, data scientists, system administrators, and business stakeholders to deliver integrated solutions that meet business requirements.
  • Research and Innovation: Stay updated with Cloudera and big data industry trends, evaluate new technologies, and recommend enhancements to improve system architecture and performance.

Desired Profile:

  • Proven experience (typically 6+ years) as a Cloudera Architect or similar role, with hands-on experience in designing, deployment and implementing Cloudera-based solutions.
  • In-depth knowledge of Cloudera ecosystem components and tools such as Cloudera Manager, Navigator, Hue, etc.
  • Strong understanding of big data concepts, data warehousing, and ETL processes.
  • Proficiency in programming and scripting languages such as Java, Python, Scala, or similar.
  • Strong understanding of distributed computing principles and data processing frameworks (e.g., Spark, Flink).
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their integration with Cloudera is a plus.
  • Excellent analytical and problem-solving skills, with the ability to troubleshoot complex issues and drive resolutions.
  • Strong communication skills with the ability to effectively collaborate with technical and non-technical stakeholders.

Good to have:

  • Cloudera Certified Professional (CCP)
  • Apache Hadoop Developer Certification
  • Other relevant certifications




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