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Job Description

The Palantir Solution Architect is responsible for guiding multi-skilled agile teams in the design and delivery of modern, enterprise-grade data solutions. This role calls for a quality-driven pragmatist who can balance trade-offs to deliver complex outcomes successfully. As a recognised authority in data technology, the architect provides strong technical leadership, strategic insight, and thought leadership across projects and teams.

Key Responsibilities

Leading the successful implementation of both functional and non-functional solution designs. Collaborating with Operations and Infrastructure architects to build and productionise robust, resilient, and maintainable data solutions. Working closely with customer architects to agree technical designs, offering challenge, guidance, and expert advice to support sound decision-making. Shaping policy, standards, and best practice while sharing knowledge and mentoring colleagues across the wider team. Managing and estimating delivery timelines, ensuring solutions are aligned with wider project goals. Owning the technical solution design during pre-sales activities and supporting bid and proposal development. Contributing significantly to the data community and broader organisational data capability. Managing, coaching, and developing team members, focusing on performance, career growth, and providing direction during problem-solving activities.

Essential Requirements

Proven experience leading multiple teams as a data solution architect, with ownership of complex, interconnected systems. Expertise in designing, building, and productionising modern data-intensive applications, including orchestration and operationalisation. Broad understanding of the full data technology ecosystem—covering ingestion, transformation, storage, presentation, and consumption—and the ability to integrate these effectively. Strong strategic design thinking, including conceptualising problems, defining approaches and roadmaps, realising architectures, and managing risks. Solid understanding of both traditional and contemporary data warehousing approaches. Experience deploying data-processing platforms from major vendors such as AWS, Azure, GCP, or Databricks. Proficiency in one or more of Java, Scala or Python, with the ability to contribute hands-on when required. A demonstrable commitment to developing people through coaching, mentoring, and team leadership.

Desirable Skills and Experience

Knowledge of broader Data Architecture concepts, including Master Data Management, data masking, governance, provenance, and lineage. Experience in technical evaluation and product selection. Familiarity with data integration techniques such as messaging, queuing, change data capture, or data virtualisation.

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