Lead Data Architect - 2 Days Either London or Peterborough/Rest Remote

Our client is a market leader in their field and at the beginning of an exciting digital transformation where tech solutions will help enable the business to scale.
As Lead Data Solutions Architect, you will shape how our clients products use data end to end from how information is captured, through how it flows via pipelines and orchestration, to how it supports insight, automation, and decision-making in live products.

Data and analytics are central to the role, but it is not a narrow data-only position. You will design complete solutions, thinking across products, integrations, data platforms, and intelligent workflows.

You will report directly to the Technology Director and work closely with the Head of Engineering & Platform. Engineering owns delivery and runtime behaviour; you own solution design, data architecture, orchestration patterns, and applied intelligence, staying close enough to the build to ensure designs work in practice. As the Lead Data Architect, you will be expected to design, build, and iterate.

Youll be responsible for

Designing end-to-end data-led and intelligence-driven solutions across their products, from application data capture through pipelines, orchestration, analytics, and downstream actions.
Hands-on design and build of data pipelines, including ingestion, transformation, modelling, and consumption, ensuring data is reliable, well-structured, and usable in live systems.
Designing and implementing data orchestration and workflow patterns that coordinate pipelines, services, analytics, and automated actions reliably in production.
Building and evolving agent-style, workflow-driven solutions where data, rules, models, and services work together to automate decisions or guide users inside products, with a strong focus on control, explain ability, and robustness.
Shaping solution designs that bring together applications, data platforms, analytics, orchestration, and integrations, rather than treating intelligence as a separate layer.
Producing clear, lightweight solution designs that describe data flow, storage choices, analytics patterns, orchestration logic, and integration points, with a focus on simplicity and long-term maintainability.
Working directly with modern data platforms, including Snowflake and Microsoft Fabric (or equivalent), and SQL-based data stores, to prototype, implement, and evolve data and analytics solutions.
Helping teams make pragmatic design decisions around performance, scalability, reliability, and cost, based on how products are actually used in production.
Defining and promoting practical data quality, modelling, and orchestration practices, ensuring solutions are trusted and reusable without introducing heavy governance.
Working closely with engineers and product-minded teams to translate business problems into buildable pipelines, orchestrations, and intelligent behaviours.
Designing integration patterns where data and decisions need to flow cleanly between products, supporting platforms, and external systems.
Supporting other engineers through hands-on collaboration, review, and problem-solving, rather than architecture boards or document-heavy processes.

The technology environment

The client operates in a .NET-based environment, with cloud-hosted platforms and modern DevOps tooling.
On the data side, they use modern data platform architectures, including:
cloud data warehouses and lakehouse-style approaches
platforms such as Snowflake and Microsoft Fabric
SQL-based data modelling
orchestrated pipelines and workflows embedded directly into products
You dont need to be a specialist in every tool, but you do need to be comfortable building and owning data pipelines, orchestration logic, and intelligent workflows that can run confidently in production.

Essential Skills

Skills and experience were looking for

Hands-on experience designing and building modern data architectures, including data warehouse, lakehouse, and end-to-end data platform patterns.
Strong experience with cloud-based analytical platforms such as Snowflake or equivalent modern data platforms (e.g. Fabric, Databricks) and understanding where they fit within a wider solution.
Practical experience designing and implementing data pipelines, covering ingestion, transformation, modelling, and consumption using SQL-first and cloud-native approaches.
Experience designing lakehouse-style architectures, with clear separation between raw, refined, and curated data layers.
Understanding of data orchestration and workflow patterns, and how pipelines, analytics, and downstream actions are coordinated reliably.
Experience embedding analytics and data-driven behaviour into products, not just producing standalone dashboards.
Familiarity with agentic or workflow-driven intelligent systems, applied pragmatically within production environments.
Strong grasp of integration patterns between applications, data platforms, and external systems.
Comfortable working hands-on alongside engineers in product-led teams with end-to-end ownership.
The business is at a point where the way they design data platforms, pipelines, orchestration, and intelligent behaviour will shape how effective and scalable their products become. There is real opportunity to simplify existing approaches, modernise how decisions and workflows are automated, and build foundations that allow products to become smarter over time without becoming fragile or over-engineered.
This role gives you direct influence over that direction, with real hands-on impact.

This role is for someone who:

enjoys designing and building data platforms, pipelines, and orchestrated solutions
wants to work hands-on with intelligent, agent-style workflows
thinks in products first, not tools
wants influence without layers of process

TPBN1_UKTJ