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Job Description

Data Architect – Transformation & Product Development

Location: London (Hybrid) or New York / Chicago (Hybrid)

Compensation: £135k–£155k (UK) / Competitive US packages + Bonus (up to 25%) + Benefits

Contract Type: Permanent (Contract opportunities also available)

Our client is a global data and analytics leader undergoing a major transformation from a traditional ratings agency into a modern data product company. With an ambitious data strategy, they are investing heavily in data mesh architecture, advanced platforms, and AI-driven engineering practices to shape the next of products.

This is a unique opportunity to join during a period of accelerated growth and transformation, working directly with senior leaders to influence the company’s data architecture strategy and execution.

About the Role

Seeking a hands-on Data Architects with a product-driven mindset to join the transformation team. You will be responsible for designing domain-driven architectures, improving data quality, and embedding best practices across engineering teams. These roles sit at the intersection of data strategy, product ownership, and technical architecture, playing a critical role in the company’s evolution into a data-first organization.

You’ll work closely with product owners, engineers, and senior stakeholders to ensure data assets are well-structured, scalable, and aligned with business priorities (ESG, credit, financial data domains). This is a build-focused role ideal for architects who want to roll up their sleeves and create tangible impact.

Key Responsibilities

Design and implement domain-specific data architectures aligned with data mesh principles. Drive data modeling, quality, and governance standards across domains (credit, ESG, financial data). Partner with Product Owners and Engineers to build repeatable, scalable data products. Embed best practices in Snowflake, Databricks, Spark, and modern data platforms. Mentor and coach engineers, raising architectural standards across teams. Support adoption of AI-assisted engineering practices to accelerate product delivery. Collaborate with stakeholders globally (London, New York, Chicago) to align architecture with business objectives. Contribute to shaping the target operating model for the data function.

Key Requirements

Proven experience as a Data Architect or Senior Data Engineer with architecture responsibilities. Expertise in: Snowflake, Databricks, Spark Logical and conceptual data modeling Data governance & quality frameworks Strong product mindset – ability to balance technical architecture with business value. Hands-on, build-first approach (not just strategy/deck-driven). Track record in domain-driven design, ideally with experience in credit, ESG, or financial data. Excellent stakeholder management and coaching capabilities. (UK roles) Eligible to work in the UK without sponsorship; (US roles) Eligible to work in the US.

Desirable / Nice-to-Have

Familiarity with data mesh architecture in practice. Prior experience in financial services or analytics-driven product companies. Exposure to AI/ML platforms for accelerating engineering workflows. Experience working in matrixed global organizations. Ability to scale and standardize product development methods across teams.

Why Join?

Be part of a company-wide transformation from ratings to data products. Work directly with senior leadership who value innovation and hands-on execution. Opportunity to shape product-centric data architecture with global impact. Competitive compensation and career growth into Chief Data Officer / Domain Leadership pathways. Collaborative, product-focused environment where AI and cutting-edge tools are being embedded.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.