Key skills
Distributed data systemsPythonSQLScalaCloud native data platformsData warehousingKafkaKinesisPubSubData modellingData governanceData quality frameworksCI/CDContainerized data environmentsAIMachine LearningRAGData WarehousingLeadershipCommunication
About this role
Harnham is a technology led organisation focused on building enterprise grade data and AI solutions. This role offers end to end ownership across architecture, delivery, and strategy, with a strong focus on AI ready data systems that power real world applications.
Responsibilities:
- Define and lead data platform strategy across pipelines, warehouses, and data lakes
- Build and optimise scalable batch and real time data pipelines
- Establish governance, quality standards, and compliance frameworks
- Design data architecture for AI and machine learning systems, including embeddings, vector stores, and RAG workflows
- Drive platform modernisation across performance, cost, and scalability
- Collaborate with engineering, product, and leadership to align data strategy
- Mentor engineers and set best practices across the team
Requirements:
- Strong experience designing and delivering distributed data systems at scale
- Expertise in Python, SQL and either Scala or similar
- Deep knowledge of cloud native data platforms and data warehousing
- Experience with streaming technologies such as Kafka, Kinesis or PubSub
- Proven capability in data modelling, governance, and data quality frameworks
- Hands on experience building data pipelines for AI and machine learning use cases
- Experience with CI CD and containerised data environments
- Strong stakeholder communication and technical leadership skills