This opportunity is for a Head of Data and Infrastructure position at a fast-growing data consultancy aiming to redefine modern professional services. The role is ideal for individuals who enjoy shaping technical strategies from the ground up, working directly with clients, and building data platforms that offer automation and predictive insights. The client is known for its work in data engineering and machine learning, focusing on helping businesses with recurring revenue models realize their data's full potential, particularly in investment-backed organizations and the music industry.
The successful candidate will act as a strategic, client-facing technical leader responsible for designing and delivering end-to-end data platforms. Key responsibilities include running workshops to comprehend complex challenges, transforming requirements into clear technical strategies, and overseeing data infrastructure, ETL pipelines, and automation workflows. The role also involves creating centralized, structured data environments from unstructured sources, advising clients on predictive and machine learning capabilities, and maintaining a hands-on approach while setting long-term technology directions.
Required qualifications include strong expertise in data engineering, data infrastructure, and cloud-based architecture, alongside a proven capability in designing and delivering comprehensive data platforms. Hands-on experience with ETL development, data modeling, and data normalization is necessary, as is a background in AWS environments and familiarity with orchestration tools like Airflow or Dagster. Confidence in leading client interactions, conducting workshops, and defining solutions is vital. Experience in the music industry is considered a significant advantage for this role.