Data Architect

As a Data Solution Architect you will be expected to take an architecture lead role on our clients solution delivery engagements with high levels of customer engagement. This will involve ongoing analysis of business requirements throughout the lifetime of the service. Candidates will have a strong understanding of data architecture and analytics design and project delivery life-cycles with an emphasis of working in client facing environments.

Typically the role will involve the following:

Translating Business requirements to technical solutions and the production of specifications

Designing and implementing business intelligence & modern data analytics platform technical solutions

Data architecture design and implementation

Data modelling

ETL data integration and data migration design and implementation

Master data management system and process design and implementation

Data quality system and process design and implementation

Major focus on data science data visualisation AI ML

Documentation of solution (e.g. data modelling configuration and setup etc.) including HLD and LLD

Working within a project management/agile delivery methodology

Managing Team Members on a day to day basis

Managing technical delivery of solution.

Qualifications :

Hands on experience with data solution architecture design rollout and technical leadership

Hands on experience with business intelligence and analytics tools data modelling data staging and data extraction processes including data warehouse and cloud infrastructure

Strong team leadership and/or customer management experience; experience of leading a team of technical resources and developing junior and senior people on the team.

Cloud experience in AWS or Azure with Databricks experience is desirable.

Experience and demonstrated competencies with multi-dimensional design star schemas facts and dimensions.

Expertise in logical and physical data warehouse database design DWH development

Experience and demonstrated competencies in ETL development techniques 

Experience in data warehouse performance optimization

Good knowledge and concepts around data science data visualisation etc. side.

Experience on projects across a variety of industry sectors an advantage

Comprehensive understanding of data management best practices including demonstrated experience with data profiling sourcing and cleansing routines utilizing typical data quality functions involving standardization transformation rationalization linking and matching

Good knowledge of Databricks Azure / AWS / Snowflake Oracle cloud R Python.

Additional Information :

Why Version 1

At Version 1 we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing professional growth and financial stability.

• Share in our success with our Quarterly Performance-Related Profit Share Scheme where employees collectively benefit from a share of our companys profits.
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme.
• Flexible/remote working Version 1 is tremendously understanding of life events and peoples individual circumstances and offer flexibility to help achieve a healthy work life balance.
• Financial Wellbeing initiatives including; Pension Private Healthcare Cover Life Assurance Financial advice and an Employee Discount scheme.
• Employee Wellbeing schemes including Gym Discounts Bike to Work Fitness classes Mindfulness Workshops Employee Assistance Programme and much more. Generous holiday allowance enhanced maternity/paternity leave marriage/civil partnership leave and special leave policies.
• Educational assistance incentivised certifications and accreditations including AWS Microsoft Oracle and Red Hat.
• Reward schemes including Version 1s Annual Excellence Awards & Call-Out platform.
• Environment Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity inclusion and belonging schemes.

And many more exciting benefits drop us a note to find out more.

Remote Work :

No

Employment Type :

Full-time