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Job Description

Data Architect

Do you know how great data design can support critical business decision-making? So do we.

Data is more than just information: it’s valuable insight that gives businesses the knowledge to transform.

About you

You design data solutions that enable clients to see the whole picture and provide insightful and accurate analysis that helps to build successful businesses. 

About the job

As a Data Architect, you use modern data engineering techniques and analytics to help clients turn information into insight. You collect, aggregate, store and reconcile data from multiple sources, helping to design and build data pipelines, streams, reporting tools, data generators and a whole range of tools to provide information and insight. You develop the predictive analytics that helps clients succeed.

Day to day, you will:

  • Share your knowledge and give solution support on proposals, supporting sales teams
  • Manage the requirements gathering, analysis and design phases of projects
  • Analyze large and complex data, using quantitative and qualitative methods
  • Deliver data to users using common desktop programs
  • Share your knowledge of best practices in analytics platforms, business intelligence, data management and Big Data
  • Produce reports that show key performance indicators (KPIs), improvement opportunities, and problem root causes
  • Identify new analytics tools and techniques
  • Create and maintain report forms and formats, information dashboards, data generators, canned reports and other information portals and resources.

About you

You understand how to turn piles of data into actionable insights that our clients can use to their competitive advantage. You can explain complex analytical concepts in non-technical language that business people can understand.

Your skills and experience include:

·        Working with analytical models or techniques and knowing how to apply them in real-life business applications

  • 5+ years' experience architecting and delivering Hadoop solutions
  • 10+ years' experience architecting and delivering BI/EDW projects
  • A technical degree in computer science or engineering
  • Familiarity with Windows and Linux operating systems
  • Previous experience working in a client-facing role
  • Experience with Microsoft Azure Databricks OR Databricks
  • Experience with Hadoop distributions such as Hortonworks and Cloudera as well as their associated open source projects (MapReduce, Impala, etc.)
  • Specialized experience with NiFi, Kafka, Spark, and Hbase, with Scala based coding in Spark Streaming and SparkSQL
  • Experienced in the DevOps continuous integration lifecycle
  • Experience working with statistical and data visualization tools and techniques
  • Structured problem-solving
  • Project and people management skills
  • Advanced knowledge of Microsoft SharePoint, PowerPivot, SQL Server Reporting Services and Excel.

You probably have a Bachelor’s degree in Data Science, Economics, Statistics or a related field. You may also have Master’s degree.

You’ve gained at least five years of experience of quantitative analysis in a business setting, including building statistical models. You’ve had a management role for around three years and the same time or more in consulting.

Apply now

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About Avanade

Avanade leads in providing innovative digital services, business solutions and design-led experiences for its clients, delivered through the power of people and the Microsoft ecosystem. Our professionals combine technology, business and industry expertise to build and deploy solutions to realize results for clients and their customers. Avanade has 29,000 digitally connected people across 23 countries, bringing clients the best thinking through a collaborative culture that honors diversity and reflects the communities in which we operate. We welcome all, and seek talented individuals who can bring their whole self to work, build inclusive teams and encourage diversity inside and outside the organization. Majority owned by Accenture, Avanade was founded in 2000 by Accenture LLP and Microsoft Corporation. Learn more at