Senior Solutions Architect

October 4

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Logo of Cloudera

Cloudera

Big Data • Cloud Computing • machine learning • cloud • Analytics

1001 - 5000

💰 $4.1M Venture Round on 2013-01

Description

• Work directly with customers to design and implement Big Data solutions at scale using the Cloudera Data Platform and Cloudera Data Services • Data Pipeline Design and Development with Cloudera’s suite of tools such as Apache NiFi, Spark, Hive, Impala, Kafka (Debezium) • Perform platform installation and upgrades for advanced secured cluster configurations • Analyse complex distributed production deployments, and make recommendations to optimise performance • Able to document and present complex architectures for the customers technical teams • Work closely with Cloudera’ teams at all levels to help ensure the success of project consulting engagements with customer • Drive projects with customers to successful completion • Write and produce technical documentation and knowledge-base articles and perform knowledge transfer • Participate in the pre-and post- sales process, helping both the sales and product teams to interpret customers’ requirements • Keep current with the Cloudera Big Data ecosystem technologies

Requirements

• 10+ years in Information Technology and System Architecture experience • 5+ years of Professional Services (customer facing) experience architecting large scale storage, data centre and /or globally distributed solutions • 5+ years designing and deploying 3 tier architectures or large-scale Cloudera / Hadoop solutions • Ability to understand big data use-cases and recommend standard design patterns commonly used in Hadoop-based and streaming data deployments. • Knowledge of the data management ecosystem including: Concepts of data warehousing, ETL, data integration, etc. • Ability to understand and translate customer requirements into technical requirements • Experience implementing data transformation and processing solutions • Experience designing data queries against data in the HDFS environment using tools such as Apache Hive • Experience setting up multi-node Cloudera / Hadoop clusters • Experience in configuring security configurations (LDAP/AD, Kerberos/SPNEGO) • Experience in Cloudera Software and/or HDP Certification (HDPCA / HDPCD) is a plus • Strong experience implementing software and/or solutions in the enterprise Linux environment • Strong understanding with various enterprise security solutions such as LDAP and/or Kerberos

Benefits

• Generous PTO Policy • Support work life balance with Unplugged Days • Flexible WFH Policy • Mental & Physical Wellness programs • Phone and Internet Reimbursement program • Access to Continued Career Development • Comprehensive Benefits and Competitive Packages • Paid Volunteer Time • Employee Resource Groups

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