Partner Solutions Engineer collaborating with partners to effectively deploy OpenAI’s products. Ensuring successful implementation of AI solutions and driving exceptional results for joint customers.
About the role
- Solutions Architect implementing Big Data solutions for Cloudera in Israel. Engaging with customers to leverage their investment in Cloudera software.
Responsibilities
- Work directly with customers to implement Big Data solutions at scale using the Cloudera Data Platform either on-premises or in the cloud
- Design and implement Cloudera Data 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 Big Data ecosystem technologies
- Attend speaking engagements when needed
- Travel up to 75%
Requirements
- 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 Data Platform solutions
- Ability to understand Modern Data Architecture use-cases and recommend standard design patterns commonly used in Modern Data Architecture deployments.
- Knowledge of the data management eco-system including: Concepts of data warehousing, ETL, data integration, etc.
- Knowledge of AI concepts and experience of working with AI models
- 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 Data Platform clusters
- Experience in configuring security configurations (LDAP/AD, Kerberos/SPNEGO)
- 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
- 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 as well as automation tooling such as Ansible or Terraform
- Experience in architecting data centre solutions – properly selecting server and storage hardware based on performance, availability and ROI requirements
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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