Data Platform Engineering Strategy Lead

Data Platform Engineering Strategy Lead provides strategic and hands-on leadership to modernize, optimize, and innovate the enterprise data platform

across corporate banking domains. The role unites architecture strategy, AI/ML enablement, and practical engineering guidance to accelerate delivery, improve

scalability and cost efficiency, and ensure alignment to enterprise governance, standards, and approved tooling. The Lead partners closely with

Platform/CTI/System teams and Agile Release Trains to define reusable patterns, de-risk delivery, and translate proofs of concept into repeatable,

production-grade solutions-while championing data literacy and responsible technology adoption

This Position will be a 6 month Rolling contract on a hybrid working basis with 3 days required in the Bromley based office

• 10+ years in data engineering/architecture across cloud or hybrid environments, with measurable impact on modernization, scalability, and cost optimization.
• Hands-on expertise with cloud-native Lakehouse platforms (Databricks, Snowflake), streaming (Kafka), ETL/ELT (Informatica), BI (MicroStrategy, Tableau, ThoughtSpot), and relational databases.
• Programming proficiency in Python and SQL for data engineering, automation, and AI/ML pipelines.
• Strong understanding of AI/ML concepts, platform choices, model lifecycle/MLOps, and integration into enterprise data platforms.
• Knowledge of metadata, lineage, data quality, and governance tooling (Collibra DQ, SALT, Informatica EDC).
• Familiarity with distributed query engines (Starburst), Graph databases (TigerGraph), NoSQL (eg. MongoDB), open table formats (Iceberg, Delta Lake), and data mesh Principles.