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Data Architect

Senior Data Architect

Milton Keynes

Argos Analytics & Business Intelligence (ABI) team supports several key business functional teams such as Marketing, Supply Chain, Finance, Contact Centre etc. We deliver and support over 1800 BO reports, 1000 informatica jobs, 6+ datamarts spread across on-prem and Azure cloud. The BI estate is used by over 10,000 users on a daily basis.

The ABI team is continuously looking for better ways to improve business decision making by making sure the right information is in right hands at the right time. The team has been responsible for introducing Cloud BI, real-time BI and other current innovations in Argos. The team works with and encourages brining in new thinking, new cutting-edge technologies and thought leadership. We have recently brought in Hadoop and kafka into the technology mix to enhance our capabilities in supporting our business needs.

What you will be doing

Working as part of a fast moving team, you will focus on helping the teams understand data

Collaborating closely with the business team leads to develop data architectures and data models

Delivering and maintaining data models in Erwin

Constantly learning new skills and the latest techniques in data architectures such as Hadoop, Spark, Kafka

Being the go-to person for all matters related to the data

Bringing the recent trends in petabyte scale data architectures to Argos

How will you be doing this?

Using various tools to capture the data and its context and meaning

Using best in-class and cutting edge methodologies to capture, store and make available data in various forms that can be easily consumed by the business

By keeping abreast of latest in data architecture field

Skills & Requirements

At least 5 years of experience in datawarehousing, data management, data architecture space in a sizeable Retail company.
Seeing data as asset and able to present the benefits to senior business stakeholders
Proven expertise in data modelling and using Erwin
Knowledge of Azure, HDInsight, Hadoop, Kafka and Spark
Thorough understanding and passion for data
Drive to learn new skills, contribute to the team and to improve
Ability to work individually as well as in a team
Agile experience is a plus


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