Digital Solution Architect, flexible working
Pubblicato il 29-10-2026 - Cloudera in Italia
Business Area: Professional Services Seniority Level: Mid-Senior level
Job Description
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Cloudera is seeking a Solutions Architect to join its Professional Services team. In this role you'll have the opportunity to develop massively scalable solutions to solve complex data problems using CDP, NiFi, Spark and related Big Data technology. This role is a client facing opportunity that combines consulting skills with deep technical design and development in the Big Data space. This role will present the successful candidate the opportunity to travel across the EMEA region and across multiple industries and large customer organisations. Fluency english spanish and Italien Location Italy or Spain Travel up to 30% to be eligible to work in the EU Work directly with customers to implement Big Data solutions at scale using the Cloudera Data Platform and Cloudera Dataflow Design and implement Hadoop and NiFi platform architectures and configurations for customers 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, blogs and knowledge-base articles Participate in the pre-and post
- sales process,
helping both the sales and product teams to interpret customers' requirements Keep current with the Hadoop Big Data ecosystem technologies Fluency english spanish and Italien 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 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 eco-system 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 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 of network configuration, devices, protocols, speeds and optimizations ~ Strong understanding of the Java ecosystem including debugging, logging, monitoring and profiling tools ~ Familiarity with scripting tools such as bash shell scripts, Python and/or Perl, Ansible, Chef, Puppet ~ Experience in architecting data center solutions – properly selecting server and storage hardware based on performance, availability and ROI requirements What you can expect from us: Generous PTO Policy 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 EEO/VEVRAA #LI-ND3 #LI-Remote xrdztoy Any information submitted to Cloudera in relation to a job application should only be through our official career portal Email communications from Cloudera will come from an email address ending in @ .