Cloud Consultant
Job Description
Job Description – Cloud Technical Consultant
Position Overview:
Senior Technical Consultants drive value throughout with our customers by identifying, testing, and managing risk; bring knowledge of software development processes and technical skills; communicate effectively; have project management skills; exhibit organizational and time management skills; and offer broad knowledge of computer software, hardware, computer languages, and client's data technologies, including thought leadership, proven best practices, and reference architectures.
Primary Responsibilities:
• Support and architect enterprise-scale solutions utilizing emerging platforms and technologies.
• Design and implement the optimal present and future-state data-blending and analytical architectures for customer scenarios, including server sizing support, strategies for achieving high availability, resiliency, and disaster recovery.
• Provide recommended best practices on architecture, deployment, and tech stack integration
• Leverages knowledge of a domain, industry, or client's data Solutions to increaseclient's credibility primarily in sales situations.
• Engage customers to extract critical technical and business drivers that may position company deliverables.
• Build deep technical enablement materials for customers to understand the latest features, how they work, their value, and customer integration.
• Works proactively with Technical Consultants, Analytics Consultants, and Resident Consultants to strategize on opportunities, cross-training and knowledge transfer.
• Engage with IT leaders to ease concerns about security and governance.
• Design reference architectures of proven solutions and educate sales teams on their implementation.
• Evaluate and drive new and key technologies and methodologies including, but not limited to: Distributed Computing, Cloud Computing, Containers, DevOps.
• Knowledgeable of AWS, Azure, and GCP cloud services, how customers leverage them, and how our client's data solution integrates.
• Knowledgeable of machine learning techniques and environments, including industry leaders such as Python, R, and Spark.
• Knowledgeable of emerging technology architectures built on containers and microservices and orchestrated by Kubernetes.
Preferred Qualifications:
• 7+ years of experience in a customer facing role including technical support or consulting.
• Demonstrated thought leader in a single domain or industry (publishes articles, leads demand generation activities, and speaks in the business track at conferences/events).
• Proficient in software architecture, data & analytic technologies, virtualization, and cloud resources.
• Ability to have deep conversations with the customer Enterprise Architect to define solutions in their enterprise.
• Experience with software and hardware installation and configuration.
• Superior problem solving, organizational, decision-making written, oral, and interpersonal skills.
• Exceptional ability to listen, assess and document information from client.
• Ability to handle a fast-paced environment and continuously re-prioritize while maintaining a constant focus on participating in the sales process.
• Knowledge of statistical analysis, data structures, model training, scoring.
• Troubleshooting techniques for parsing and dissecting log files.
• Proven experience supporting the sale of Business Intelligence tools, solutions, and applications.
• Understanding of different databases, Hadoop, and network security protocols.
• Virtualization & Cloud knowledge – VMware, AWS, Azure, Google.
• Experience with traditional RDBMS databases, NoSQL databases, and Hadoop
• Experience with Java, C++, Python, R, and other procedural languages.
• System Security, including Networking, TLS, LDAP, Active Directory.
• Strong knowledge of Windows Server and Linux.
• DevOps / Hardware expertise.
Apply tot his job
Apply To this Job
Job Description – Cloud Technical Consultant
Position Overview:
Senior Technical Consultants drive value throughout with our customers by identifying, testing, and managing risk; bring knowledge of software development processes and technical skills; communicate effectively; have project management skills; exhibit organizational and time management skills; and offer broad knowledge of computer software, hardware, computer languages, and client's data technologies, including thought leadership, proven best practices, and reference architectures.
Primary Responsibilities:
• Support and architect enterprise-scale solutions utilizing emerging platforms and technologies.
• Design and implement the optimal present and future-state data-blending and analytical architectures for customer scenarios, including server sizing support, strategies for achieving high availability, resiliency, and disaster recovery.
• Provide recommended best practices on architecture, deployment, and tech stack integration
• Leverages knowledge of a domain, industry, or client's data Solutions to increaseclient's credibility primarily in sales situations.
• Engage customers to extract critical technical and business drivers that may position company deliverables.
• Build deep technical enablement materials for customers to understand the latest features, how they work, their value, and customer integration.
• Works proactively with Technical Consultants, Analytics Consultants, and Resident Consultants to strategize on opportunities, cross-training and knowledge transfer.
• Engage with IT leaders to ease concerns about security and governance.
• Design reference architectures of proven solutions and educate sales teams on their implementation.
• Evaluate and drive new and key technologies and methodologies including, but not limited to: Distributed Computing, Cloud Computing, Containers, DevOps.
• Knowledgeable of AWS, Azure, and GCP cloud services, how customers leverage them, and how our client's data solution integrates.
• Knowledgeable of machine learning techniques and environments, including industry leaders such as Python, R, and Spark.
• Knowledgeable of emerging technology architectures built on containers and microservices and orchestrated by Kubernetes.
Preferred Qualifications:
• 7+ years of experience in a customer facing role including technical support or consulting.
• Demonstrated thought leader in a single domain or industry (publishes articles, leads demand generation activities, and speaks in the business track at conferences/events).
• Proficient in software architecture, data & analytic technologies, virtualization, and cloud resources.
• Ability to have deep conversations with the customer Enterprise Architect to define solutions in their enterprise.
• Experience with software and hardware installation and configuration.
• Superior problem solving, organizational, decision-making written, oral, and interpersonal skills.
• Exceptional ability to listen, assess and document information from client.
• Ability to handle a fast-paced environment and continuously re-prioritize while maintaining a constant focus on participating in the sales process.
• Knowledge of statistical analysis, data structures, model training, scoring.
• Troubleshooting techniques for parsing and dissecting log files.
• Proven experience supporting the sale of Business Intelligence tools, solutions, and applications.
• Understanding of different databases, Hadoop, and network security protocols.
• Virtualization & Cloud knowledge – VMware, AWS, Azure, Google.
• Experience with traditional RDBMS databases, NoSQL databases, and Hadoop
• Experience with Java, C++, Python, R, and other procedural languages.
• System Security, including Networking, TLS, LDAP, Active Directory.
• Strong knowledge of Windows Server and Linux.
• DevOps / Hardware expertise.
Apply tot his job
Apply To this Job