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Senior Big Data Solutions Architect
1 month ago
Azalio Technologies is seeking an experienced Senior Big Data Solutions Architect to lead the design, implementation, and optimization of our Cloudera-based data solutions.
About the RoleWe are looking for a highly skilled professional with in-depth knowledge of Cloudera ecosystem components and tools. The ideal candidate will have hands-on experience in designing, deploying, and implementing Cloudera-based solutions, as well as a strong understanding of big data concepts, data warehousing, and ETL processes.
Key Responsibilities- Design and develop robust, scalable, and high-performance data solutions leveraging Cloudera Distribution including Apache Hadoop (CDH) or Cloudera Data Platform (CDP).
- Lead the implementation and configuration of Cloudera platform components such as HDFS, Hive, HBase, Impala, Kafka, Spark, and Sentry, ensuring optimal performance and reliability.
- Integrate Cloudera-based solutions with existing IT infrastructure and applications, ensuring seamless data flow and compatibility.
- Design and implement data management strategies including data ingestion, storage, processing, and governance.
- Perform performance tuning, monitoring, and troubleshooting of Cloudera clusters to ensure efficient data processing and analytics.
- Implement and enforce security measures, data privacy standards, and compliance requirements within the Cloudera environment.
- Create technical documentation, architecture diagrams, and provide regular reporting on system performance and project status.
- 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.
We offer a competitive salary of $120,000 - $180,000 per year, depending on experience, as well as a range of benefits including health insurance, retirement plan, and paid time off.