Data Architect

Role Overview

We're looking for a Data Architect to lead the design of modern data platforms and work with clients to deliver clarity, direction, and solutions. The role sits at the center of our consulting projects and requires 10+ years of experience in data engineering, architecture, analytics, or a blend of all three.

What You Will Do

Lead end-to-end data architecture, design modern data platforms, build scalable ingestion, modelling, and transformation layers, and provide technical leadership to engineering teams.

Why It Might Be a Fit

You will work directly with client stakeholders, support the sales team, and contribute to predictive analytics and ML-driven solutions. You will also ensure the platform supports downstream ML workloads, model training, and orchestration.

Requirements

• 10+ years across data engineering, architecture, analytics, or a blend of all three
• Deep hands-on expertise in at least one major cloud ecosystem (Snowflake, Databricks, Fabric, AWS)
• Strong data modelling skills across dimensional, 3NF, and emerging lakehouse patterns
• Experience working with or supporting data science teams – feature engineering, ML-ready datasets, predictive analytics projects
• Comfortable leading delivery teams and driving architecture decisions on mid-to-large projects
• Strong grasp of cloud security, networking basics, and designing for scale and cost efficiency
• Confident in consulting environments – you know how to handle ambiguity, reset expectations, and communicate clearly
• Comfortable in pre-sales: solution shaping, presenting to clients, and working with the sales team

Benefits

• Space for everyone, embracing different perspectives, making room for opportunities for each individual to thrive