Big Data Architect в Teradata
Main responsibilities
The Solution Architect’s main responsibilities include:
• Designing enterprise-grade infrastructures for Clients and technically overseeing their planning, evaluation, implementation and evolution
• Workshopping with Clients to understand their technologies, business situation and goals
• Documenting workshops and defining plans to address discovered requirements for:
o Proof of concept solutions
o Production-grade solutions
• Assisting commercial negotiations
• Guide Client and Think Big teams implementing solutions
Objectives
• Understand the Client and ensure Client success
• Be the go-to trusted solution architecture expert for Clients and Think Big technical teams
• Guide Clients from legacy to scalable modern future-proof infrastructure
• Enable Clients to do what they do better, e.g. faster, cheaper, more reliably
• Open up opportunities for Clients, e.g. new ways of exploiting data
• Identify patterns across engagements and work with peers in Think Big to develop repeatable solutions
• Provide thought leadership
Specific responsibilities
Advise organisations on how to make Big Data technologies like the Hadoop ecosystem work for them.
Support brand, Sales staff and Account Managers by:
• Identifying opportunities
• Demonstrating to Clients the benefits of modern data architectures
• Networking with relevant stakeholders to support account management
• Participate in calls and meetings
• Present thought leading perspectives at internal and external forums, conferences, community meetups
Workshops:
• Develop and lead workshops with Clients to plan activities
• Understand business drivers, functional and non-functional requirements
• Document outcomes and write commercial proposals
• Define solution architecture and planned activities
Advise senior stakeholders:
• Become a point of contact for solution architecture
• Proactively advise on needs and issues as well as derive solutions
• Guide and support planning of training activities for the Client staff
• Work alongside Data Architect to bring to life the solution and solve Client use cases
Implementation:
• Guide implementation of Big Data platforms by technical teams
• Contribute to and help establish client and company best practice and quality standards
Documentation:
• Provide general documentation on (Big) Data solution architectures
• Provide specific documentation to support Client material, e.g. wikis, for onboarding and guiding day to day operations
• Identify and create patentable artefacts, intellectual property, design documents and author articles/papers
Qualifications
• Excellent interpersonal skills with senior stakeholders and technical staff
• Strong verbal and written communication, with good exposure to working in a cross-cultural environment and the ability to present comfortably to senior management
• Knowledge and experience of data platforms, such as:
• relational database systems
• data warehouse or other OLAP systems
• NoSQL platforms
• Big data platforms such as Hadoop (MapReduce, Pig, Hive, ...), Spark, Storm, Cassandra, HBase, Elasticsearch, Mesos, etc.
• Breadth of knowledge of technical systems, including enterprise, distributed and n-tier systems across multiple domains
• Breadth of knowledge of technologies, including languages, frameworks and their required skillsets
• Ability to design and understand how to broadly utilise these platforms in enterprise production settings
• Experience of working with engineering teams across the delivery lifecycle to assist in the realisation of production architectures
• Experience in delivering large enterprise-level applications
• Highly structured and analytical thinking and decision making
• Knowledge of architectural standards (such as TOGAF and Archimate)
• Experience of coaching junior team members
• Developed practical solutions based on the latest industry developments
• Evidence of self-driven research
• Technical background
Apply:
https://teradata.taleo.net/careersection/prof/jobdetail.ftl?job=173322&src=JB-10062
