Ascendion

Data Strategy Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Strategy Lead in Bromley, UK (Hybrid, 3 days in office) with a contract length of "unknown." The position requires 10+ years in data engineering/architecture, expertise in cloud platforms, and strong skills in Python, SQL, and data governance. Pay rate is "unknown."
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
February 28, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Bromley, England, United Kingdom
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🧠 - Skills detailed
#GDPR (General Data Protection Regulation) #NoSQL #Data Governance #Data Engineering #Metadata #Migration #AI (Artificial Intelligence) #Data Architecture #Data Warehouse #"ETL (Extract #Transform #Load)" #Delta Lake #Cloud #Databases #Scala #SQL (Structured Query Language) #Agile #ML (Machine Learning) #Snowflake #Batch #Informatica #Strategy #Kafka (Apache Kafka) #Data Strategy #Compliance #Python #Databricks
Role description
Job Title: Data Strategy Lead Do you have the skills to fill this role Read the complete details below, and make your application today. Work Location: Bromley, UK (Hybrid, 3 days in office) Job Description β€’ We are seeking a Data Strategy Lead to define and drive the modernisation of enterprise data platforms within corporate banking. The role combines data platform strategy, architectural guidance, and AI/ML enablement to deliver scalable, secure, and cost-efficient solutions aligned with enterprise standards and regulatory requirements. Key Responsibilities β€’ Define and own the data platform strategy and roadmap. β€’ Provide architectural guidance for cloud-native and Lakehouse platforms. β€’ Lead migration from legacy data warehouses to modern platforms. β€’ Drive performance, scalability, resilience, and FinOps optimisation. β€’ Enable AI/ML platforms, including MLOps and model lifecycle. β€’ Guide solutions from PoC to production using reusable patterns. β€’ Define standards for batch, streaming, APIs, and data services. β€’ Ensure compliance with data governance, lineage, quality, and GDPR. β€’ Act as a trusted advisor to business, engineering, and risk stakeholders. β€’ Collaborate with Product Owners, System Teams, and Agile Release Trains. Skills & Experience β€’ 10+ years’ experience in data engineering or data architecture. β€’ Strong experience with cloud or hybrid data platforms. β€’ Hands-on expertise with Databricks, Snowflake, Kafka, ETL/ELT (Informatica). β€’ Strong Python and SQL skills. β€’ Experience with Delta Lake, Iceberg, and relational/NoSQL databases. β€’ Understanding of AI/ML platforms, MLOps, and enterprise integration. β€’ Experience with data governance, lineage, and metadata tools. xlqdzyr β€’ Strong stakeholder communication skills. β€’ Experience working in Agile / SAFe environments