Data Architect

Methods Analytics (MA) is recruiting for a Data Architect to join our team on a permanent basis.

This role will be mainly remote but will require flexibility to travel to client sites, and our officesbased in London, Sheffield, and Bristol where necessary.

Data Architect

The Data Architect will be expected to work as part of the Methods Analytics Delivery team. The workload will be a blend of client assignments and internal company projects. They will work across a mix of large and small projects and be responsible for translating data into valuable insights that inform decisions for small to large transformation projects and programmes

The successful candidate will be part of an active data community, offering extensive opportunities to learn, upskill, collaborate, and contribute to team development. They will translate business problems into technical designs, creating optimal designs through iterative processes, aligning user needs with organisational objectives and system requirements.

In this role you will:

• Advocate the business benefit of data standards, championing and governing those standards across projects and the organisation.
• Demonstrate an overall perspective on business issues, events and activities, and an understanding of their wider implications and long-term impact. This will include determining patterns, standards, policies, roadmaps and vision statements
• Make and guide effective decisions, explaining clearly how the decision has been reached with the ability to understand and resolve technical disputes across varying levels of complexity and risk.
• Communicate effectively across organisational, technical and political boundaries to understand the context and how to make complex and technical information and language simple and accessible for non-technical audiences.
• Understand how to expose data from systems (for example, through APIs), link data from multiple systems and deliver streaming services.
• Ensure that risks associated with deployment are adequately understood and documented.

The following lists are not exhaustive requirements for application to this role.

Requirements

You would ideally demonstrate:

• Extensive experience with Azure (specifically Azure Data Factory, and other technologies such as Data Lake, Purview, Synapse and a range of databases) and similar AWS Data engineering tools (such as Redshift).
• Excellent Relational Database design skills with an eye for diagnosing and optimising performance
• Extensive Data Modelling experience: both normalised relational model and de-normalised Star Schema type models
• Infrastructure, Azure Data Factory / SSIS, SQL (On-prem/Cloud)
• An ability to recognise and exploit business opportunities to ensure efficient and effective performance of organisations, developing and setting architecture standards for an organisation.
• Solid experience in a range of technologies and be able to make assessments as to what is best to be used for the projects and the organisation
• Design technical services selecting from a core set of digital platforms and technologies
• Have strong architecture experience, with good knowledge of modern open source and proprietary technology and cloud / on premise platform based technologies
• An understanding of the government digital service manual and standards across Discovery/Alpha/Beta/Live phases
• Effective communication across organisational, technical and political boundaries, understanding the context of the project.
• An ability to make complex technical information and language simple and accessible for non-technical audiences.
• Awareness of, and keeping up to date with advances in data services and architectural practices.
• Knowledge of how to ensure that risks associated with deployment are adequately understood and documented.
• Understanding of different tools and can compare different data models.
• Knowledge of how to design and analyse operational logs for data processing, and triage incidents in order to identify problems and implement appropriate fixes.
• Exposure to high performing, low latency or large volume data systems (i.e. 1 billion+ records, terabyte size database)
• You can make and guide effective decisions, explaining clearly how the decision has been reached.
• You must have the ability to understand and resolve technical disputes across varying levels of complexity and risk.
• Knowledge of and/or experience with GDS practices
• Worked as part of multi-disciplinary project team. For example, collaboration with UR/UX

You may also have desirable skills and experience:

• Exposure to high performing, low latency or large volume data systems (i.e. 1 billion+ records, terabyte size database)
• You can make and guide effective decisions, explaining clearly how the decision has been reached.
• You must have the ability to understand and resolve technical disputes across varying levels of complexity and risk.
• Knowledge of and/or experience with GDS practices
• Worked as part of multi-disciplinary project team. For example, collaboration with UR/UX

Working at MA

Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight, and technical excellence to provide our customers an end-to-end data service.

We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative.We value discussion and debate as part of our approach. We will question assumptions, ambition, and process – but do so with respect and humility.

We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes.

We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers.

We are passionate about our people; we want out colleagues to develop the things they are good at and enjoy.

By joining us you can expect:

• Autonomy to develop and grow your skills and experience
• Be part of exciting project work that is making a difference in society
• Strong, inspiring, and thought-provoking leadership
• A supportive and collaborative environment

Benefits

As well as this, we offer:

Development – Access to online training providers such as LinkedIn Learning and guided professional development.

Wellness – 24/7 confidential employee assistance programme

Social – Office parties, pizza Friday, and commitments to charitable causes

Time Off – 25 days of annual leave a year plus all bank holidays

Pension – Salary Exchange Scheme with 4% employer contribution and 5% employee contribution

Company Bonus – Discretionary and based on company and individual performance

Life Assurance – Of 4 times base salary

Private Medical Insurance – Which is non-contributory (spouse and dependants included)

Worldwide Travel Insurance – Which is non-contributory (spouse and dependants included)