Chief Data Architect

2 months ago


London, Greater London, United Kingdom Arcus Search Full time
Chief Data Engineer

We are seeking a visionary leader to spearhead our clients data strategy, leveraging insights from their platform to drive company growth. This role is pivotal in scaling the data engineering and analytics capabilities, primarily utilizing cloud-based SaaS systems.

Key Responsibilities:
  • Team Leadership and Development:
    • Develop, mentor, and manage a high-performing team of data engineers and analysts
    • Foster a culture of innovation and continuous improvement within the team
  • Data Strategy and Execution:
    • Collaborate with product and development leaders to define and implement a data-driven strategy
    • Design, develop, and deploy robust data models and pipelines
    • Embed data-centric approaches across all product verticals, ensuring data-first solutions
  • Innovation and Growth:
    • Develop a comprehensive data roadmap focused on scalability, commercial viability, and cutting-edge innovation
    • Integrate standard and bespoke analytics solutions within our business intelligence framework
  • Customer and Internal Insights:
    • Manage and fulfill customer data requests while ensuring data integrity and security
    • Provide actionable insights to drive organizational efficiency and improvement
  • Governance and Compliance:
    • Maintain high standards for data quality and governance
    • Ensure adherence to global data protection regulations, translating them into actionable development and management protocols
    • Advise on data ownership issues to inform commercial contracts
    Required Skills and Expertise:
    • Technical Proficiency:
      • Extensive engineering background with deep expertise in ETL optimization and big data process tuning
      • Proficient in modernizing legacy data structures and developing contemporary data assets
    • Leadership and Risk Management:
      • Proven experience leading technology teams, with a track record of hiring and retaining top talent
      • Skilled in assessing risks to balance rapid delivery with high-quality outputs
    • Product Development:
      • Demonstrated success in building data products and bringing them to market
      Qualifications and Attributes:
      • Experience in a senior leadership role, managing data engineering and analytics teams
      • Passionate about enhancing global trade through data-driven solutions
      • Adaptive leadership style tailored to team and situational needs
      • Collaborative team player comfortable with strategic discussions at the leadership level
      • Proficiency with AWS data engineering frameworks (e.g., S3, Redshift, EMR, Kinesis, RDS) or equivalent on other major cloud platforms
      • Experience with Big Data technologies (e.g., Hadoop, Hive, Hbase, Pig, Spark)

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