Significant professional experience building and operating production data platforms, ideally in financial services or another environment where data accuracy has direct business consequencesDeep hands-on experience with modern data architectures, including cloud data warehouses or lakehouses, orchestration, transformation frameworks, and streaming or event-driven ingestionExpert-level SQL and strong proficiency in Python or another language used to build production data pipelines and toolingStrong data modeling skills across analytical and operational use cases, including dimensional modeling and modern alternativesExperience building reliable production data systems with automated testing, observability, data quality controls, CI/CD, and infrastructure-as-codeWorking familiarity with the Microsoft data stack-including MSSQL, SSIS, SSAS, SSRS, and Power BI-sufficient to understand and migrate existing workloadsAbility to contribute meaningfully to architectural decisions, identify trade-offs, and turn agreed-upon designs into production systemsSound judgment around implementation choices, migration sequencing, reliability, and production change riskStrong communication skills and the ability to work directly with business users to understand how data is actually usedHave you built a modern data platform and learned which decisions matter early, and which can wait? They work closely with traders, risk, finance, and technology teams to understand how data is produced and consumed and turn that understanding into reliable, well-modeled, and well-governed data systems.