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Data Architect (R2516)

Curve Group Holdings Ltd
Closing date
7 Jul 2022

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Technology & New Media
Contract Type
Full Time
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Data Architect - Enterprise Data Platform

About Us

We're a specialist UK financial services group focusing on attractive segments of the UK retirement income market but guess what, we're not your traditional financial services company and we're not just looking for traditional financial services people. We need agile operators, who can quickly find solutions and are committed to doing the right thing for our customers.

We are passionate about our strong purpose of helping people achieve a better later life and our culture is built around our identity of being Just. We do the right thing in the right way. Collaborating and valuing differences makes us a successful team in which everyone feels included. Our culture, combined with our strong purpose, is one of our key competitive advantages and helps us to make Just an inclusive and great place to work.

In 2021 we were named as one of the UK's 100 Best Large Companies to Work For and accredited as a 2-star organisation, representing outstanding levels of engagement. Alongside these we were also recognised in the following Best Companies categories: Financial Services' 30 Best Companies to Work For, London's 75 Best Large Companies to Work For, South East's 100 Best Companies to Work for and Northern Ireland's 10 Best Companies to Work For. We're extremely proud to be recognised for the great work that we do.

About You:

We are looking for an experienced Data Architect who can be the lead decision maker around design of the Enterprise Data Platform, and its ongoing development to meet business needs. Someone who can raise awareness of data management with business users, and define the data needed, and the framework required for transformation purposes. Overseeing a team of 3 Data Engineers, fine tuning Azure components and liaising with business, change and data stakeholders to ensure alignments with scope and timescales. Whilst monitoring performance and cost.

Within this role you will:

Lead decision maker on data modelling methodology
Defining the data needed to meet business needs
Define the framework for the transformation of data from source systems to information used by the business for insight
Establish preliminary data integration plan
Capturing data journeys for the business reporting and insight needs
Creating physical models of the relationships between data
Recommend the data stages necessary for data transformation and information access
Ensuring progress is in line with business transformation projects and programmes
Manage a team of Data Engineers3Examples of Key Activities
Documenting frameworks, standards, and models
Identifying and documenting data facts and dimensions
Develop source-to-target data mapping for each data stage
Review and document data quality
Establish reconciliation techniques

What you will need to have:

Expertise in Data Architecture concepts and best practice
Knowledge of cloud based big data frameworks such as data lake, relational, Graph and other no-SQL databases
Creating and maintaining data warehousing, data lake and big data solutions
Solid understanding of GDPR and The Data Protection Act 2018
Experience of implementing data modelling methodologies
Knowledge of Microsoft Dynamics 365 and its reporting capabilities
Familiar with Cloud and Data Management trends, including open-source projects, methodologies (connect and collect, hub and spoke, data fabrics, etc.) and leading commercial vendors that relate to data acquisition, management, and the semantic web
Good understanding of Microsoft Server technologies (Azure, T-SQL, SSIS, SSRS, Power BI)
Understanding of Master Data Management technology landscape, processes and design principles
Can quickly understand business problems and requirements and derive workable actions
Strong communication skills
At least 2 years' experience working at a senior level as a Lead Data Engineer or Data Architect
Experienced in operating large Data Governance programs and managing enterprise data assets in a complex organisation
Experience using Data Governance & Data Quality systems and tools

What will make you stand out:

Data Architecture in a Financial / Regulated environment
Python and AzureWhat you will be rewarded with:

A competitive Base Salary
A generous and highly achievable bonus scheme - 20% paid quarterly based on individual and company performance against targets
A flexible working pattern around our core hours of 10:00am-15:00pm
Hybrid work with 2 office days per week
Life Insurance + Income Protection + Private Medical Insurance + several additional purchase options available for you and your loved ones
Opportunity to progress within your career
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