Data Architect

Avanade Data Architect:

Background:

Bringing big data together with other data systems can yield amazing insights, particularly when presented in ways that users can see information and make decisions that affect the business. As new technologies like Hadoop and R enable cheaper distributed processing and improved analytical capabilities, the bar from getting insights from new types of data, as well as ever increasing volumes of data, has come down.

Avanade is a $2 billion global IT services and solutions a joint venture between Accenture and Microsoft, Avanade was formed to merge the strengths of both companies – Accenture's consulting and Microsoft's technology expertise – into a single company. Avanade is a business technology services provider dedicated to using the Microsoft platform to help enterprises achieve profitable growth.

Avanade Inc. was founded in 2000 - initially Accenture owned 51% and Microsoft 49%, however, in 2001 Accenture became the majority owner and Avanade became a subsidiary of Accenture. Avanade now has 22,000 professionals in more than 20 countries.

Avanade operates in a similar way to a consultancy business , selling Microsoft products, then implementing the products into their clients – comprising major global organisations (mid to large organisations in all industries, and government agencies)

In short; Avanade helps customers realize results in a digital world through business technology solutions and managed services that combine insight, innovation and expertise focused on Microsoft® technologies.

As a business Avanade is technically competent, at the forefront of innovation, technology and change – they can interpret what clients may need before they turn it into a reality.

The company has had a huge growth T/O £0 - £2 billion in 14 years – the business remains extremely ambitious and is working toward an increase of £5 million by 2019. The business is confident of achieving this.

As is the nature of working within a global professional services environment, your clients and projects will change over time so the flexibility to travel is a pre requisite All of our roles are project based so typically will involve working on client site throughout the UK: we work both in and outside London and have major projects in cities including Manchester, Leeds, Birmingham, Swindon and Cambridge. You can expect up to 80% travel as well as periods working on a dedicated client site.

The Role

The Big Data Architect role drives high priority customer initiatives, leveraging Azure data services to solve the biggest and most complex data challenges faced by Avanade's enterprise customers. This is a technical role, accountable for the end-to-end deployment and usage for Azure data services.

The Big Data Architect own's the Azure Data Services technical architecture: data architecture design sessions, implementation projects and/or Proofs of Concepts. The ideal candidate will have experience in customer facing roles and success leading deep technical architecture and design discussions with senior executives.

Key Responsibilities

Interface with delivery teams to design Azure data services solutions in support of the over-arching analytics services solution, including SQL Database, Document DB, SQL Data Warehouse, HD Insight, Azure Machine Learning, Stream Analytics, Data Factory, Event Hubs and Notification Hubs

Architect scalable data processing and analytics solutions, including technical feasibility for Big Data storage, processing and consumption e.g., development of enterprise Data Lake strategy, heterogeneous data management, Polyglot Persistence, decision support over Data Lake

Design, coordinate and execute pilots, prototypes or proof of concepts, provide validation on specific scenarios. Report on progress of business objectives; Ensure plan execution, Document and share technical best practices / insights with Engineering teams and the solution architect community

Qualifications

Experience Required

3+ years of experience with deep understanding in both traditional and modern data architecture and processing concepts, including relational databases (e.g., SQL Server, MySQL, Oracle), Data warehousing, big data (Hadoop, Spark, Storm), noSQL, and business analytics

3+ years of success in consultative/complex technical deployment projects (where necessary, managing various stakeholder relationships to get consensus on solutions)

Understanding of big data use-cases and Hadoop-based design patterns Knowledge of real time/stream analytics trends

3+ years of architecture, design, implementation, and/or support of complex application architectures (i.e. having an architectural sense for connecting data sources, data visualization, structured and unstructured data, etc.)

Demonstrable hands on experience implementing Big Data solutions using Microsoft Data Platform and Azure Data Services;

o Operationalizing end-to-end cloud analytics solutions

Create a data factory, orchestrate data processing activities in a data-driven workflow, monitor and manage the data factory, move, transform, and analyze data

o Design data pipelines to support machine-learning solutions

Create and manage experiments, determine when to pre-process or train inside Machine Learning Studio, select input/output types, apply custom processing steps with R and Python, publish web services

o Design big data real-time processing solutions

Ingest data for real-time processing, design and provision compute resources, design for lambda architecture, design for real-time processing

o Designing big data batch processing and interactive solutions

Ingest data for batch and interactive processing, design and provision compute clusters, design for data security, design for batch processing, design interactive queries for big data

Deep technical experience in one or more of the following areas: Software design or development, Application Design, Systems Operations / Management, Database architecture, Virtualization, IP Networking, Storage, IT Security

Working knowledge with AGILE development, SCRUM and Application Lifecycle Management

Prior work experience in a DBA/Consulting/Architecture position within a software and/or services company such as Amazon, Google, IBM, Softlayer, Oracle, T-Systems, Wipro, CSC, HP, Infosys, ServiceNow, Dell, TCS, Rackspace, Cognizant

Technical Requirements:

Proficient with Azure cloud computing including big data technologies.

Desired certifications and accreditations preferably one or more of below or comparable:

Microsoft Azure Designing and Implementing Big Data Analytics Solutions (70-475)

Microsoft Azure Designing and Implementing Cloud Data Platform Solutions (70-473)

Microsoft Professional Program Certificate in Data Science

Hortonworks (Associate, HDPCD)

Experience of hybrid and/or cloud architectures that utilise Azure

Experience in or exposure to solutions that are analytical in nature, employing data centric architectures

Data technology literate with a detailed understanding of data architecture and data tools and technologies, in particular in memory/in database and open source technology.

Experience of advanced data analytics and insights techniques (eg, predictive, segmentation, recommendation and sentiment analytics, machine learning techniques and leveraging structured and unstructured data)

Experience working directly within teams developing solutions based on statistics, machine learning, regression models and optimization techniques to distil meaningful business insight from data

  • Knowledge and/or experience in one of the following;
  • C#, R, Python, SQL, PL/SQL, MDX, JSON, XML, .NET, C++, T-SQL, Java, JSON, PHP
  • Hadoop (Hortonworks or Cloudera), Spark, Storm, Pig/Hive
  • NoSQL, DocumentDb, MongoDb
  • PL/SQL Developer, SQL Query Analyzer, R Studio, PowerBI, Tableau, Spotfire, etc, Visual Studio, TFS

Education:

Technical BS degree, Computer Science or Math background highly desired

Requisition ID - 44934

Avanade is the leading provider of innovative digital and cloud-enabling services, business solutions and design-led experiences, delivered through the power of people and the Microsoft ecosystem. Majority owned by Accenture, Avanade was founded in 2000 by Accenture LLP and Microsoft Corporation and has 30,000 professionals in 24 countries. Visit us at www.avanade.com.


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