CUBE

Senior Data Platform Manager

CUBE

full-time

Posted on:

Location Type: Hybrid

Location: LondonUnited Kingdom

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About the role

  • Lead the design, delivery, and operation of CUBE's modern data platform.
  • Build and scale a high-performing Azure-based data platform.
  • Own the technical vision, roadmap, and delivery of data engineering capabilities.
  • Establish and enforce data governance frameworks.
  • Build platform capabilities to support complex analytical queries and AI model training.
  • Collaborate with Data & AI Engineering leadership, product teams, and architects.
  • Drive technical delivery through agile practices, managing backlogs and releases.
  • Champion engineering best practices including CI/CD, infrastructure as code, automated testing.
  • Optimise platform performance, cost efficiency, and reliability.
  • Build, develop, and mentor a high-performing team.
  • Stay abreast of emerging technologies and Azure platform capabilities.

Requirements

  • Significant experience as a Head of Data Engineering, Lead Data Platform Engineer, or equivalent.
  • Proven track record of designing and delivering modern data platforms at scale in B2B SaaS or enterprise environments.
  • Deep expertise in Microsoft Azure data services including Azure Data Factory, Synapse Analytics, Data Lake Storage, and Fabric.
  • Strong understanding of data architecture patterns for ingesting, transforming, and governing unstructured and semi-structured data.
  • Experience building data platforms that support AI/ML workloads, including feature engineering, model training pipelines, and inference infrastructure.
  • Hands-on knowledge of data governance frameworks, including data quality, lineage, cataloguing, and compliance requirements.
  • Proficiency in modern data engineering tools and practices including Python, SQL, Spark, Terraform, and CI/CD pipelines.
  • Experience leading and developing engineering teams, with demonstrated ability to recruit, mentor, and build high-performing technical organisations.
  • Strong understanding of agile delivery practices, backlog management, and technical project execution.
  • Excellent communication skills to articulate complex technical concepts to non-technical stakeholders and influence executive decision-making.
Benefits
  • CUBE is a globally recognized brand at the forefront of Regulatory Technology.
  • Trusted by the world’s top financial institutions globally.
  • 50% growth in 2024, through strategic acquisitions.
  • Fast-paced, high-performing team.
  • “Make it happen” culture for personal and professional development.
  • Operate as one team with a shared mission to transform regulatory compliance.
  • Diversity, collaboration, and purpose at the heart of success.
  • Work alongside brilliant minds in AI research and engineering.
  • Opportunity to develop impactful solutions in regulatory compliance.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data platform designdata engineeringdata architecture patternsAI/ML workloadsfeature engineeringmodel training pipelinesdata governance frameworksPythonSQLSpark
Soft skills
leadershipmentoringcommunicationcollaborationagile practicesinfluencetechnical project executionbacklog managementteam developmentoptimisation