Data Architect

Kallidus is a leading SaaS provider of learning, performance, and talent management solutions. Our award-winning platform helps hundreds of organisations worldwide empower their people to perform at their best — from simplifying compliance to driving skills development and measurable business outcomes.

We are a technology company, not just a company that "does technology". We build it ourselves, we own it entirely, and the people who lead that work have real influence over how it evolves. Come build, grow and make a difference!

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.

• 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
• 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

• 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…