Palantir Solutions Architect

- Experience leading multiple teams as the data solution architect, with ownership of a system of systems - Experience designing, building, and productionising modern data-intensive applications including orchestration and operation - Broad knowledge of the full spectrum of data technologies (data ingestion, transformation, storage, presentation, consumption) and ability to integrate these into successful solutions - Strategic design thinking experience, including problem conceptualisation, approach and roadmap definition, architecture realisation, and risk management - Comfortable with traditional and contemporary data warehousing concepts - Experience deploying data-processing platforms from vendors such as AWS, Azure, GCP, or Databricks - Comfortable in one or more of Java, Scala, or Python with the ability to be hands-on when required - Demonstrated ability in managing, coaching, and developing members of your team and wider community - Knowledge of wider Data Architecture concepts, such as Master Data Management, Masking, Data Governance, Provenance, and Lineage (desirable) - Experience with Technical Evaluation and product selection (desirable) - Comfortable with data integration techniques such as messaging, queuing, change data capture, or data virtualisation (desirable)