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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** Kallidus Ltd - **Location:** Bristol, UK - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Business Systems, Software as a Service, Customer Data Management, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Mining, Data Systems, Data Warehousing, Distributed Systems, Power BI, Standard Sql, Cloud Platform System, Snowflake, Change Data Capture, Data Strategy, Data Management, Terraform - **Published:** October 17, 2026 - **Apply:** https://kallidus-careers.kallidusrecruit.com/VacancyInformation.aspx?VId=106225 ## About the Role + Proven experience designing and implementing data architecture on Snowflake (or a comparable cloud platform) in production, including data modelling (dimensional/medallion) and integration from multiple source systems + Experience designing data-rich distributed systems, ideally multi-tenant SaaS + Experience designing application and data integrations - APIs, event-driven, batch and Change Data Capture (CDC) - and choosing the right pattern for each + Strong SQL and ELT/ETL tooling knowledge (such as Fivetran, Airbyte, dbt), with an understanding of performance, cost/compute and security in cloud data platforms + Strong understanding of data governance in practice - data quality, lineage, access control, pseudonymisation and stewardship models + Familiarity with GDPR and data privacy in a customer data context Stakeholder and people + Confident with senior stakeholders, building trust and influence without formal authority + Skilled at getting to the heart of business problems - asking the right questions, challenging assumptions and turning needs into clear requirements and trade-offs + Able to build consensus across teams and bring people with you + Able to explain technical choices clearly to any audience, written or spoken + Experience providing technical leadership or mentorship, without formal line management Desirable skills and experience + Experience shaping a new data platform or product capability from inception + Experience designing self-serve or conversational/AI-driven query solutions over a data warehouse, and working with BI tools such as Power BI + Experience with ADRs or a similar architecture governance practice + Experience with Microsoft Azure and infrastructure-as-code such as Terraform ## Description The Data Architect owns the architecture of Kallidus's data platforms. Your initial focus will be owning the architecture of two data platforms: + Customer Intelligence platform (internal business intelligence): our Snowflake-based platform that brings data from multiple business systems together into a well-governed environment, so we can better understand our customers, identify those at risk of leaving, and spot opportunities to grow accounts. This is our highest-priority current data project. Snowflake is new to Kallidus, so you'll have specialist support during initial delivery, and will help build Snowflake capability across the existing data team. + SaaS-embedded data platform (customer-facing): a data platform embedded in our SaaS product, powering the reporting, analytics, AI and bulk data extraction capabilities we offer our customers. This platform is still in inception, so you'll have the chance to shape its architecture from the ground up and make a significant impact on how our customers get value from their data. Owning both lets you set a coherent direction for how data serves Kallidus and our customers. Beyond these, you should expect to take on wider architecture work, including non-data projects, as business needs evolve. We value pragmatic, right-sized design: platforms built for the scale we have today, with room to grow as our customers' needs do. You'll join a small, growing Architecture function, with real scope to grow into a wider data strategy role over time., Across both platforms + Own the target-state architecture and roadmap for both data platforms, with your time and focus split between them + Review and optimise existing data solutions for performance, cost, reliability and maintainability, driving continuous improvement + Define and maintain data modelling standards, naming conventions and documentation, applied consistently across both platforms + Establish and champion data governance practices - including data quality, lineage, access control, security and pseudonymisation of sensitive data - and own the ongoing operational processes that keep the platforms running well + Govern architectural decisions through our Architecture Decision Record (ADR) process, working with the teams building on each platform + Identify and champion opportunities to use AI tools to improve ways of working within the role and team Customer Intelligence platform + Own the architectural design - data models, ingestion, transformation and storage layers - for the team to build to + Define the approach for integrating data from multiple business systems into a unified, governed warehouse + Own the definition of data catalogues and a semantic layer, working with stakeholders across the business + Design the approach for a self-serve query layer, including conversational and AI-driven interfaces, for both business users and data specialists + Act as technical lead for the team implementing ELT/ETL pipelines, and support the development of data engineering capability within the existing team SaaS-embedded data platform + Shape the platform's architecture from inception, helping define its scope, target state and delivery roadmap + Design how customer data flows from our core SaaS systems into the platform, and how it is served back to customers through in-product reporting, analytics, AI features and bulk data extraction + Design for multi-tenancy from the outset, including tenant data isolation, performance at scale and data residency + Work with Product and Engineering teams to turn customer-facing data capabilities into a coherent, evolvable architecture Collaboration + Work closely with other architects in the function, including future hires - agreeing clear interfaces with the systems your platforms depend on, and supporting each other + Work as a peer to development team leads, shaping technical decisions together - while holding final accountability for architectural decisions on your platforms + Partner with Data Science, AI, BI and Product teams to build production-ready data foundations that support reporting, dashboards and predictive/ML use cases