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.
Required Skills
* 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.
Job Title: Data Platform Engineering Strategy Lead
Location: Bromley, UK
Job Type: Contract
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