Principal Data Engineer: Data Mesh Leader (Remote)

Ensek; United States; A distancia; USD 150.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

25 days holiday

Private health insurance

Pension with 5% matched

Remote‑first with London/Nottingham

Volunteering days

Descripción de la vacante

ENSEK seeks a Principal Data Engineer to lead architecture across its data platform, data products, and ML/AI platform. You will drive a pragmatic data mesh, empower domain teams with trustworthy, discoverable data products, and shape governance, security, and compliance in platform design.

Collaborate with Principal Engineers, Product leaders, and Data Protection specialists to set standards, enable self-service adoption, and mentor senior engineers while advancing data-driven decision-making

Formación

• Extensive experience in Data Engineering with leadership of architecture and strategy across multiple teams.
• Experience at Principal or Staff Engineer level with technical leadership.
• Deep expertise in modern data platforms and lakehouse architectures on AWS.

Responsabilidades

• Own the technical vision, architecture and roadmap for ENSEK's data ecosystem.
• Lead data mesh adoption enabling domain teams to own data products.
• Make ADRs and key architectural decisions for data platforms.
• Set standards for event-driven architectures, data governance and lifecycle.
• Define self-service data platform components and CI/CD for data products.
• Design secure, scalable data sharing with customers and partners via APIs and streams.
• Mentor Senior Staff Engineers and grow a data engineering community.

Conocimientos

Data engineering

Architecture leadership

Technical strategy

Cross‑team influence

Cloud AWS

Herramientas

Kafka

Kinesis

Schema Registry

Avro

Descripción del empleo

ENSEK seeks a Principal Data Engineer to lead architecture across its data platform, data products, and ML/AI platform. You will drive a pragmatic data mesh, empower domain teams with trustworthy, discoverable data products, and shape governance, security, and compliance in platform design.

Collaborate with Principal Engineers, Product leaders, and Data Protection specialists to set standards, enable self-service adoption, and mentor senior engineers while advancing data-driven decision-making