• Design and deliver enterprise‑scale, cloud‑native data pipelines and curated datasets that support complex business, legal, and regulatory requirements.
• Engineer secure, auditable, and defensible data extracts to support high‑risk legal, litigation, and compliance use cases.
• Build and maintain scalable ELT and ETL workflows across enterprise and cloud analytics platforms to support batch and large‑scale processing.
• Partner closely with Legal, Market Analytics, Enterprise Technology, and Data Engineering teams to translate complex data requests into reliable technical solutions.
• Establish and champion best practices in data engineering, including automation, testing, monitoring, documentation, and governance.
• Ensure appropriate data security, lineage, retention, and chain‑of‑custody controls for sensitive legal and regulatory datasets.
• Act as a senior escalation point for complex data engineering, platform, and risk‑related challenges.
• Contribute to enterprise data modernization initiatives, including migration from legacy platforms to cloud‑based analytics environments.
• Lead through influence by setting standards, improving processes, and enabling repeatable, production‑ready data frameworks.
• Provide informal mentorship and technical guidance to analysts and partner teams as needed.