Data Solutions Architect-8293

Peregrine; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Peregrine is seeking an experienced Data Architect to design and govern enterprise-scale data architectures that support advanced analytics and AI initiatives. You will collaborate with engineering, analytics, and business stakeholders to ensure data is trusted, accessible, and well-structured across the organisation.

You will shape data strategy, define information models, and lead the adoption of cloud-based data platforms, while delivering scalable, secure data solutions that meet regulatory

Qualifications

• Experience designing enterprise-scale data architectures across complex domains.
• Ability to define and govern data models (conceptual, logical, physical).
• Proven track record implementing ETL/ELT pipelines and data governance.

Responsibilities

• Define and maintain data models across domains (conceptual, logical, physical).
• Design scalable ETL/ELT pipelines for enterprise reporting, analytics, and AI workloads.
• Establish data standards, governance, and quality frameworks to improve data integrity.
• Collaborate with stakeholders to define data requirements and roadmaps.
• Drive the single source of truth across diverse datasets.
• Support adoption of modern cloud-based data platforms and patterns.
• Ensure secure, scalable, and maintainable data solutions aligned to objectives.
• Provide architectural leadership across data engineering, analytics, and AI.

Skills

Data architecture

Data modelling

Enterprise Data Mgmt

ETL pipelines

Cloud platforms

Stakeholder engagement

Data governance

Data quality

Tools

ETL Tools

Cloud Platforms

Data Catalogs

Job description

Data Architect

Permanent | Hybrid | Data Architecture | ETL

The Role

We are seeking an experienced Data Architect to design and govern enterprise-scale data architectures that support complex, data-driven programmes. This role will be responsible for shaping data strategy, defining information models, and delivering robust data platforms capable of supporting advanced analytics and artificial intelligence initiatives.

You will work closely with engineering, analytics, data science, and business stakeholders to ensure data is trusted, accessible, and structured effectively across the organisation. This is an excellent opportunity for someone who enjoys solving complex data challenges and influencing the future direction of large-scale digital transformation programmes.

Responsibilities

• Define and maintain conceptual, logical, and physical data models across multiple domains.
• Design and govern scalable ETL/ELT data pipelines that support enterprise reporting, analytics, and AI workloads.
• Establish data standards, governance frameworks, and best practices to improve data quality and consistency.
• Collaborate with technical and business stakeholders to define data requirements and strategic roadmaps.
• Drive the implementation of a single source of truth across complex and diverse datasets.
• Support the adoption of modern cloud-based data platforms and architecture patterns.
• Ensure data solutions are secure, scalable, maintainable, and aligned to organisational objectives.
• Provide architectural leadership across data engineering, analytics, and AI initiatives.

Skills & Experience

• Strong experience in Data Architecture, Data Modelling, and Enterprise Information Management.
• Proven experience designing and implementing ETL/ELT pipelines within large-scale environments.
• Expertise in creating conceptual, logical, and physical data models.
• Experience defining data governance standards, metadata management, and data quality frameworks.
• Strong understanding of modern cloud data platforms and data integration technologies.
• Ability to engage effectively with senior stakeholders and translate business requirements into technical solutions.
• Excellent analytical, communication, and problem-solving skills.
• Experience working within highly regulated, complex, or large-scale organisations.

Desirable Skills

• Experience supporting or enabling Artificial Intelligence and Machine Learning
• Knowledge of MLOps, feature stores, real-time analytics, or automated data pipelines.
• Experience with data mesh, domain-driven design, or modern data architecture patterns.
• Familiarity with data cataloguing, lineage, and observability tools.
• Previous experience working on large-scale digital transformation programmes.

The successful candidate will establish scalable, well-governed data architectures that enable trusted decision-making, advanced analytics, and AI-driven innovation. They will provide strategic leadership across data initiatives, ensuring data is effectively modelled, integrated, and managed while supporting complex business and technology programmes. Success will be measured through the delivery of resilient data solutions, improved data quality and accessibility, and the creation of a strong foundation for future digital transformation initiatives.

About Peregrine

We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that's focused on growth, both yours, our clients', and the sectors we support. You'll also get access to a full range of benefits alongside your salary.