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Principal Data Architect

Mesh-AI

London

On-site

GBP 80,000 - 120,000

Full time

Yesterday

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Job summary

A leading consultancy in London seeks a Principal Data Architect to design and deliver modern data solutions. You will leverage your expertise in cloud environments and data management to create scalable, innovative architectures. Join a collaborative team focused on transforming enterprises through data and AI.

Benefits

Highly competitive salary package

Company bonus & benefits

Flexible working policy

Personal learning budget

Qualifications

Proven experience in data architecture and design, particularly in cloud environments.
Strong understanding of data modeling techniques at all levels.

Responsibilities

Design high-level and low-level data architecture solutions.
Develop, implement and maintain data lineage and metadata management approaches.
Collaborate with stakeholders to ensure requirements are captured and implemented.

Skills

Data Architecture

Data Modeling

Cloud Environments

Problem Solving

Tools

Azure

AWS

Collibra

Erwin

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About Us

We’re a transformation consultancy and we exist to reimagine how enterprises operate, making data and AI their competitive advantage. We turn enterprises into data-driven and AI enabled organisations, unleashing business growth and accelerating outcomes.

We have big ambitions for the future. Since we launched October 2021, we’ve grown to over 100 people and are working with some of the UK’s largest enterprises to deliver real transformation. We’re building an open, collaborative culture and we are always on the lookout for top talent to join us in our next phase of growth.

If you’re interested in working on business-defining engagements with some of the brightest minds in the industry, apply below!

Our Values

We’re committed to building an organisation where everyone can thrive. That’s why we collectively created the following values:

Own It: Take responsibility and make impactful decisions - your ownership drives our success.

Drive Excellence: Commit to being the best in what we do - excellence isn’t an option, it’s our benchmark.

Act with Integrity: Uphold a culture of trust and respect, build strong relationships and deliver on every promise.

Think Customer First: Put our customers at the heart of every decision you make - their success defines ours.

Go Big & Innovate: Be ambitious, challenge norms and innovate boldly to redefine what’s possible for us and our customers.

The Opportunity

As a Data Architect, you will be at the heart of designing and delivering modern data solutions, driving high-quality data architecture and design outcomes for enterprise organisations. You will leverage your expertise in modern technologies, data management approaches, and industry best practices to create scalable, robust, and innovative data solutions. Working in an agile environment, you will ensure that data architecture aligns with both strategic objectives and delivery excellence.

Responsibilities

Design high-level and low-level data architecture solutions, including creating data models (conceptual, logical, physical) and metamodels to support organisational data strategies.
Develop, implement and maintain data lineage and metadata management approaches to assure data traceability, governance, and quality.
Produce and own architectural artefacts such as data flow diagrams, system interface designs, and source-to-target mappings for data migrations.
Apply principles from frameworks such as DCAM, DMBOK, TOGAF, and other modern methodologies to ensure a cohesive and future-proof architecture.
Collaborate with stakeholders, including agile leads, business analysts, developers, and other architects, to ensure functional and non-functional requirements are captured, understood, and implemented effectively as part of the design process.
Advocate for and implement best practices in data management, including schema design, query optimisation, and scalable storage solutions.
Provide design options to cater for tactical and strategic solutions, depending on time sensitivity of each project and product, without compromising on the reference target state goals.
Implement smart design components in your solutions to pivot organisations towards data products and, where pragmatic, implement principles aligned to the Data Mesh.
Act as the SME to help clients understand and assess different solution architecture archetypes, such as the Modern Data Warehouse, Data Lakes, Lakehouses, and the respective offerings from leading closed and open source providers, with the ability to provide cloud design recommendations best suited to each archetype.
Actively contribute to sprint planning, backlog refinement, and iterative delivery processes.
Support the definition and maintenance of reference architectures, standards, and guidelines for data architecture.

Requirements (Not expected to be strong in all areas)

Proven experience in data architecture and design, particularly in cloud environments such as Azure and AWS.
Strong understanding of data modeling techniques at all levels, including conceptual, logical, and physical data models.
Detailed understanding of the main data modelling approaches (e.g. 3NF, Kimball, Data Vault, Graph, etc) and able to assess pros and cons of each within different contexts.
Experience with tools and methodologies for metadata management, data lineage, and governance (e.g., Unity, Collibra, Erwin).
Familiarity with designing and implementing solutions for deployment in data lakes, data warehouses, and operational data stores.
Knowledge of modern data frameworks, including streaming platforms, NoSQL databases, and distributed systems.
Solid experience in creating architectural documentation and artefacts such as source-to-target mappings, data dictionaries, and integration designs.
Familiarity with agile methodologies and experience working in cross-functional agile teams.
Awareness of architectural principles and frameworks, including DMBOK, DCAM, TOGAF, and modern data-centric approaches.
Strong problem-solving skills and the ability to communicate technical concepts effectively to both technical and non-technical audiences.
A background in developing scalable, secure, and maintainable data systems that align with enterprise standards.

Why Mesh-AI

Value-driven, fast-growing start-up organisation with huge opportunity for career growth
Highly competitive salary package along with company bonus & benefits
A hugely collaborative, diverse and inclusive working environment where every person’s viewpoint is considered - a chance to make your mark on a growing business
Financially backed business meaning security and support for new initiatives and global market expansion
Flexible working policy to ensure you work where you work best and deliver great outcomes for our clients
Drive your development with a personal learning budget (Mentors, Career Framework, Delivery forums, Lunch & Learns)

Want to know more? Get in touch with careers@mesh-ai.com or apply here.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting

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