Company Description
Version 1 is celebrating 25 years in the IT industry this year and we continue to be trusted by global brands to deliver IT solutions that drive customer success.
Version 1 is not just a Microsoft Gold Partner, an AWS Premier Consulting Partner and an Oracle Platform Partner; we are also an award-winning employer and our employees are at the heart of Version 1.
We invest in a strong culture of wellness through programs that help our employees create their journey toward optimal wellbeing.
This framework is based on the 'Strength in Balance' theme and this is seen again in our Diversity, Inclusion and Belonging Team motto "Bring Your Difference".
Job Description
As the volume of data managed by Version 1 customers continues to grow, many organisations struggle with defining their strategy, and shaping the technology solutions that will enable them to fully realise the value of the data they hold.
This role will work at the forefront of Version 1's mission to prove that IT can make a real impact on our customer's business.
You will work with customers in a variety of industries to help shape their data strategy and the technology solutions that support them.
We're looking for a passionate, experienced data professional, with excellent consulting and communication skills to help the customers on their data journey.
Responsibilities:
• Understanding the information needs of our customers and defining the technology solutions to address them.
• Shaping Data Strategy for medium and large organisations in the Public & Private sector.
• Defining standards, principles, and reference architectures for Version 1 data solutions.
• Design of enterprise data models and Data Lake, Data Fabric, and Data Warehouse solutions.
• Implementing Data Governance frameworks that focus on how Version 1 customers can unlock value from their data.
• Specification of ETL pipelines, data integration and data migration approaches.
• Design & implementation of Master data management solutions.
• Specification of Data Quality Management methodology and supporting technology tools.
• Development of proposals, tender responses and other commercial documents as part of the presales process.
Qualifications Essential criteria:
• Experience in shaping Data Strategy & Enterprise Data Architecture.
• Deep understanding of the DAMA Data Management Body of Knowledge (DMBOK), experience in assessing an organisation's maturity level against this framework, and developing recommendations & strategy based on this assessment.
• Must have hands-on experience Architecting and delivering solutions using the AWS Analytics platform including some of the following: AWS S3, AWS RDS, AWS Glue, AWS Redshift, AWS Kinesis, AWS Lambda, AWS Managed Kafka, AWS Sagemaker, AWS Athena.
#J-18808-Ljbffr