Data Platform Engineers/Architects/Consultants

Delivering robust and scalable data ecosystems is crucial for organisations aiming to harness analytics and AI effectively. The Data Platform Engineers/Architects/Consultants will be pivotal in designing, building, and evolving comprehensive data platforms that serve as the foundation for complex data operations and insightful intelligence. Their expertise will drive the creation of architectures that not only accommodate current analytics demands but also anticipate future growth and innovation across diverse cloud environments.

This role involves hands-on development combined with strategic oversight to craft data foundations that are robust, scalable, and aligned with business goals. Those stepping into the position will take ownership of entire data architecture roadmaps, from initial design through to implementation, ensuring platforms are optimised to handle evolving data loads and analytical complexities. The successful candidate will collaborate closely with clients, offering technical leadership while guiding junior consultants to deepen their understanding of the data landscape.

Day-to-day responsibilities include defining and implementing data platform solutions leveraging leading cloud technologies such as AWS, Azure, and Google Cloud. Candidates will work across data ingestion, storage, processing, and orchestration layers, applying best practices to ensure high performance and resilience. The role requires a deep understanding of modern data engineering principles and how infrastructure components interact to support analytics and artificial intelligence workflows.

Data Platform Engineers/Architects/Consultants will frequently engage with multiple stakeholders to translate requirements into scalable technical designs, balancing immediate delivery needs with longer-term platform stability and extension possibilities. The position demands technical versatility—appreciating not only backend engineering challenges but also the broader data architecture considerations that underpin successful analytics outcomes.

Operating within a hybrid work model, this role is based in Stockholm, offering flexibility while maintaining strong team collaboration and client engagement. The position is permanent, providing an opportunity to build lasting contributions within diverse project environments that focus on advancing organisational data capabilities.

Candidates should demonstrate substantial experience in modern data platform development, including proven capabilities in cloud-based data engineering as well as a firm grasp of infrastructure, architecture patterns, and data foundations. Expertise in guiding teams and mentoring less experienced consultants will be highly valued, as the role combines technical delivery with leadership responsibilities. A thorough knowledge of how to structure data for optimal analytics and AI readiness is essential, reflecting the strategic significance of the platforms under development.

The work environment encourages a blend of technical precision and strategic thinking, suited to professionals who can navigate complex data challenges while maintaining hands-on involvement. The role does not exist in isolation but as part of a broader effort to establish industry-standard data environments that empower better decision-making and enhance operational intelligence.

This position sits within the data engineering function, encompassing database administration elements and leveraging cutting-edge cloud technologies to deliver future-proofed data solutions. The focus remains on creating architectures that are resilient, agile, and capable of driving meaningful insights through structured and accessible data.

This role is situated within the broader technology sector, providing essential infrastructure to support an array of business-critical analytical and AI initiatives. Candidates will contribute directly to the transformation and modernisation of data services, underpinning enterprise-scale intelligence that fuels ongoing innovation and business success.