UK Analytics solution architect

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Role Overview

As a UK  Analytics Solutions Architect, you will work with clients to identify, document, and translate their business strategy and requirements into solutions and services that help our clients achieve their business outcomes using Analytics. Key to this role is that the individual will be an expert in selecting the optimal architecture and delivery approach that will service clients' needs with a balance of costs, capability, and risks to achieve the business outcomes. Based on the market demand for Data and AI solutions this role is critical for Avanade to create new business opportunities and grow existing clients. This role includes developing client roadmaps, program building, incorporating intelligent processes into existing business process, and solution planning that drives our clients desired business outcomes. The scope of solutions can include, diverse data (including IOT) and advanced analytics capabilities, such as data engineering, data modeling, machine learning, and data interaction and visualisation that are all powered by Microsoft Azure technologies. The successful individual will be a long-term trusted advisor to our clients to establish programs and system integration projects targeting business outcomes on a repeatable basis.

Day-to-day you will:

Translate business requirements to technical solutions leveraging strong business acumen

Analyse current business practice, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics PaaS Services

Develop overall solution plans and strategic vision for data and analytics solutions, providing a comprehensive roadmap for clients' needs

Provide high-level architectural expertise to sales, project and other analytics teams

Perform key management and thought leadership role in the areas of advanced data techniques, including data modeling, data access, data integration, data visualisation, text mining, data discovery, statistical methods, database design and implementation

Define and achieve a strategic roadmap for the enterprise; including data modeling, implementation and data management for our enterprise data warehouse and advanced data analytics systems

Identify risks, assumptions, and develop estimates end-to-end based on Solution Plans

Build relationships with solution architects and collaborate on promoting solution architectural best practices across the company

Your technical/non-technical skills include:

Proven client experience selecting architecture that services clients' needs with the balance of costs, capability, and risk to meet clients' business objectives

Demonstrated experience of turning business use case and requirements to technical solutions

Experience in business processing mapping of data and analytics solutions

Strong understanding of the value proposition(s) associated with AI, Data, PaaS (Azure PaaS is a plus!), and DevOps

Experience constructing program journeys

Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows

The ability to apply methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration

Experience successfully solutioning digital analytics programs and system integration projects across multiple work streams and geographically dispersed teams

People management responsibilities both directly and indirectly with globally dispersed teams

Passion for AI

Ability to establish relationships with peers virtually

Able to explain complex analytical methodologies and concepts in non-technical language

Experience design and solutioning Modern Data Platforms and solutions incorporating AI and Advanced Analytics

Exceptional written and verbal communication and presentation skills

Experience partnering on analytics-related sales pursuits

Knowledge of Lambda and Kappa architecture patterns.

Knowledge of Master Data Management (MDM) and Data Quality tools and processes.

Strong team collaboration and experience working with remote teams. 

Knowledge of DevOps processes (including CI/CD) and Infrastructure as code fundamentals

Knowledge on Big Data technologies: Hadoop (Hortonworks or Cloudera) Spark, Storm, Pig/Hive, NoSQL, DocumentDb, MongoDB 

Preferred Certifications: Microsoft Azure Designing and Implementing Big Data Analytics (70 -475)

Education Background: 

You likely possess a Bachelor's and/or Masters in a field such as Computer Science, Management Information Systems, Statistics, or Mathematics. An equivalent combination of education and experience will also suffice.

Work Experience: 

You likely have about 5-7+ years of applied experience solutioning programs and system integration projects that include Modern Data Platform and Advanced Analytics, preferably in a business consulting (technology focus) environment