If you’re excited by the idea of owning and shaping an entire Data Platform function, this role is worth a look.

The company is undergoing a major shift: moving from a traditional data setup into a fully modern, scalable, AI‑driven platform. They’re now building the leadership layer that will define how data is engineered, governed, and leveraged across the organisation.

They’re searching for a Technical Data Engineering Manager with deep, hands‑on experience in data streaming especially Kafka as this will become a foundational backbone across all products and internal systems.

What makes this compelling is the trajectory. As the platform scales, this position is designed to evolve into Head of Data Platform , with full ownership of the division: strategy, architecture, team growth, and cross‑functional influence.

What you'll do:

Lead a team of senior data, infrastructure and backend engineers creating a supportive environment where people can grow and do their best work
Collaborate closely with Product, Data Production, and key internal customers to define and deliver on a clear vision and roadmap with shared alignment on metadata, taxonomy requirements, and data format standards
Support the team in architectural and technical decision‑making, while not being expected to contribute code regularly - today that means driving the build‑out of a governed, central data distribution layer that replaces the current mix workarounds and legacy pipelines
Own data integrity and discoverability end‑to‑end. You'll establish monitoring across the full value chain and drive a continuously updated Data Catalogue that makes data trustworthy and discoverable across the organization, resolving terminology conflicts between product and data teams through a single source of truth
Build strong relationships with internal stakeholders and partner with data engineers and architects to develop scalable internal interfaces

Your Skills

Leadership experience leading cross‑functional, product‑oriented engineering teams
Solid grasp of backend development, ideally with Java or Python, and both relational and NoSQL databases
Solid understanding of data warehouse technologies and ETL pipelines including experience migrating away from legacy, bespoke pipelines toward governed, self‑serve data delivery platforms
Strong understanding of distributed system design, particularly microservice architectures with hands‑on experience building event‑driven, fan‑out distribution systems (Kafka , Redpanda , Confluent )
Familiarity with Data Governance Tools, Processes and Practices incl. data catalogues, Schema versioning, data contracts, and schema registry patterns
Excellent communication skills and a collaborative mindset - you build strong relationships with senior engineers, product peers, other engineering managers, and various stakeholders
Familiarity with building applications and infrastructure on AWS

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Peritus Partners