Join to apply for the Data Architect role at JIM - Jobs In Manchester

2 weeks ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

Our people work differently depending on their jobs and needs. From
This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.

Overview

Job Description

Join us as a Data Architect

We’ll look to you to contribute to the design and implementation of data architecture across multiple architecture domains while ensuring alignment with enterprise standards. You’ll be collaborating with key stakeholders to develop reusable and scalable capabilities, making sure they support the bank’s strategic target data architecture. This is a chance to support the development of data architectural capability across the bank, sharing knowledge, contributing to the community of practice, and mentoring less – colleagues and members of our data community.

Responsibilities

• Develop data architecture models and artefacts, making sure that they align with the bank’s strategic target data architecture, templates and toolsets
• Support the adoption of domain data architecture enablers, assisting in the creation of playbooks, collaborating with peers, and helping educate stakeholders on best practices and alignment with strategic roadmaps
• Support design reviews for change programmes, providing input to make sure solutions align with data architecture principles, standards and best practices, and aim for intentional target state data architecture
• Validate data solution quality, identify data architectural risks, and escalate significant findings to appropriate stakeholders and in alignment with enterprise processes
• Define how data will be stored, consumed, integrated and managed by different data entities and systems
• Build effective relationships with all organisational levels so that there is a common understanding of our strategic data architecture goals and objectives
• Work with dynamic cross functional teams including business areas, the central architecture team, solution architects & data engineers, providing a common language and understanding of data architecture
• Monitor emerging technologies within your domain, identifying potential opportunities or risks and raising them for consideration within the architecture governance framework
• Play a pivotal role in bringing the architecture community together to enable a common understanding of our data architecture strategy through communities of practice

The skills you’ll need

To excel in this role, you’ll need practitioner knowledge in an area of specialism practices, including a strong understanding of business use cases and emerging trends that drive organisational success. You’ll also have knowledge of modern technologies such as Cloud, microservices and AI, along with agile architecture and DevOps practices, you’ll also have strong presentation and stakeholder engagement skills and hands on experience of being able to conceive and portray the “big picture” regarding data architecture to all level of the organisation.

In addition, you’ll need expertise in data management and knowledge of data management best practice and experience of defining and developing strategic target data architectures that align with organisational objectives, as well as transition states from current to target state. Along with this, you’ll need a good understanding of data lifecycle management and in-depth knowledge of data modelling and database design. Experience in AWS Sagemaker would be highly desirable.

Qualifications

• Experience in producing clear data architecture diagrams at various levels of detail and for different audiences
• Experience of engaging with stakeholders from across the business to define data architectures that deliver tangible business outcomes and knowledge of creating business cases to influence stakeholders
• Experience of collaborative decision-making processes, partnering with business and technology, data and architecture colleagues to evolve data architectural direction, while adhering to key architecture principles and alignment with strategic goals
• Good working knowledge of data mesh principles, an understanding of data products, such as, non-traditional data aspects, including federated data principles and ownership
• Strong experience in ETL, ideally, from previous data engineer roles
• Experience in managing and working in a complex and challenging data environment

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Industries

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.