Cloud Native Big Data & Computing Solution
- Hewlett Packard
- 12 - 20 yrs
- Bengaluru
- 5 years ago
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Desired Candidate Profile
HPE Hybrid IT Practice / CoE for APIJ
Cloud Native Big Data & Computing Solution Architect
THE ROLE
Based on Cloud Native Computing and Container based Big Data, HPE Cloud Native Computing Application and Data Migration service is the fastest growing solution business area in Hybrid IT solution in Asia Pacific, India, and Japan. HPE Pointnext Hybrid IT Practice / CoE leads HPE solution business with cutting edge technologies and delivers a portfolio of innovative Cloud Native Computing and Big Data solution offerings.
We are looking for solution architects with strong Cloud Native Computing and Big Data platform consulting, design, and delivery experience to deliver & support customers transformation of their enterprise data store, normalization, analysis, modeling, and process methodology which leads to generate new business value. The solution architect would help our enterprise customers to strategize and adopt the transformation of their current enterprise data platform into the next generation enterprise cloud native big data platform to generate disruptive business value.
KEY RESPONSIBILITIES
As Cloud Native Big Data & Computing solution architect, the role will be to engage our enterprise customers to understand their business challenges and requirements around data management and help our customers design & implement new enterprise big data platform and methodology and related backend IT service frameworks and maximize the business around the cloud native big data and computing service business.
Your responsibilities will include:
Work with our sales and presales teams and engage our enterprise customers to understand their business challenges and requirements
Working with senior customer representatives (up to, and including, C-level executives) to advise and guide on the overall solution
Designing and leading workshops focusing on the transformation of the customers technology and covering the whole enterprise big data transformation programme
Providing input to the sales process and producing Statements of Work
Producing Strategy and Roadmap documentation, including Business Cases and ROI analysis
Discovering and understanding the customers business problems
Work with our architectural & engineering teams and the Big Data, Cloud Native Computing, and Cloud Foundry community to deliver innovative solutions that meet our customers needs.
Be able to individually implement smaller tactical projects or Proof of Concepts (POC)
On large scale projects be able to lead a team of development and implementation resources under the local project management team
Identifying opportunities for additional HPE engagements with leading local professional members to generate incremental business for the HPE.
Delivering HPEs Cloud Native Big Data & Computing Platform solutions into customer environments and ensuring solutions works as specified
Maintaining knowledge of wider cloud technologies and concepts, including but not limited to Big Data, such as Hadoop, OpenStack, Kubernetes, and Cloud Foundry
Managing stakeholder relationships in the country, across HPE business units, especially Hybrid IT and Pointnext. Managing complex multifunction relationships with senior and executive stakeholder management
Managing project financials including business impact within the team with reliable forecast accuracy
Being an active in open source communities, such as Cloud Native Computing Foundation, OpenStack, and Cloud Foundry community
Travelling to, and working from, customer sites
Maximizing the business in the area of cloud native big data platform
Aligning with the regional and worldwide team to expand the new business area and increase share of wallet of the existing and new customers
Reporting to the regional lead of HPE Pointnext Hybrid IT CoE lead
REQUIRED SKILLS & EXPERIENCE
Minimum 3 years of enterprise experience
Perform architecture design, data modeling, and implementation of Cloud Native Big Data platform and analytic applications
Analyse the latest Big Data Analytic technologies and their innovative applications in both business intelligence analysis and new service offerings, bring these insights and best practices
Exposure to varying databases NoSQL (at very minimum Key value stores and/or Document stores), Appliances
Platform Design and Implementation experience with the following environments;
Big Data Infrastructure Technologies : SQL on Hadoop, API/REST services, BI across the data landscape, Search and secondary indexing
Programing Languages : Java, Python, PHP, Ruby
Environments & Frameworks Docker, Cloud Foundry, Spring, Rails, Elastic beanstalk (AWS), Microsoft.net, OpenShift etc, WebSphere, Apache httpd, LAMP, Kubernetes, Tensorflow
Database MariaDB, MongoDB, PostgreSQL, Cassandra, Redis
Application life cycle and monitoring backup, recovery, monitoring (i.e. new relic)
Development environments - DEV, TEST, STAGE, PROD, repositories, code review tools
Application architecture 12 factor application design
Opensource experience must include designing and implementing the platforms, technologies and products that provide an IaaS / PaaS / SaaS solutions. For example, Puppet, Chef or Juju. You need a minimum of 2 years experience deploying production applications using these, or similar products, in projects
Experience in the following products and technologies would be an advantage
Amazon, Azure, and alternate cloud products and technologies.
Contact Details:
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Keyskills: Java Rest NoSQL Cloud Foundry Hadoop Cassandra Redis PHP MongoDB LAMP
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Hewlett Packard
Hewlett Packard Enterprise is an industry leading Technology Company that enables customers to go further, faster. With the industry’s most comprehensive portfolio, spanning the cloud to the data center to workplace applications, our technology and services help customers around the world mak...
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