Lead Data Platform Engineer (German Speaker)📣 Job Ad

About the Role

Jobgether is seeking a Lead Data Platform Engineer (German Speaker) to join the team in a full-time, fully remote capacity. This role involves leading the evolution of a large-scale, cloud-native data platform that supports business-critical analytics and reporting. The position requires a hands-on technical leader who will own the platform's architecture, operations, and long-term roadmap, while driving continuous improvements in scalability, reliability, and data quality. The Lead Data Platform Engineer will collaborate with cross-functional teams to translate business requirements into robust technical solutions and establish engineering best practices.

Key Responsibilities

• Own the end-to-end data platform strategy, architecture, and operational roadmap, from data ingestion through reporting and analytics delivery.
• Lead the continuous optimization of the cloud-native data platform, focusing on reliability, scalability, performance, maintainability, and cost efficiency.
• Oversee data ingestion, streaming pipelines, batch processing, data modeling, quality assurance, and reporting workflows.
• Strengthen platform observability through comprehensive monitoring, alerting, incident management, and operational best practices.
• Define engineering standards for documentation, testing, code reviews, infrastructure management, and AI-assisted software development.
• Drive the adoption of AI-native engineering practices, including AI-powered coding, testing, refactoring, documentation, and code quality reviews.
• Collaborate with product, customer-facing teams, leadership, and external specialists to deliver scalable, business-focused technical solutions.
• Mentor engineers, provide technical leadership, and establish sustainable ownership across critical platform components.

Required Qualifications

• A minimum of 5 years of experience in Data Engineering, Data Platform Engineering, Platform Engineering, or a closely related field.
• Strong hands-on experience designing and operating production-grade cloud-native data platforms.
• Excellent communication and stakeholder management skills.
• Fluent German (C1 level) is required, along with good English communication skills for technical collaboration and documentation.

Technical Skills and Tools

• Solid proficiency in Go (Golang) for developing and maintaining backend services and data processing systems.
• Extensive experience with Google Cloud Platform services, including Cloud Run, Pub/Sub, BigQuery, Dataflow, Cloud Storage, and Cloud SQL.
• Strong SQL skills and experience with analytical data modeling; familiarity with SQLMesh, dbt, or similar orchestration frameworks is an advantage.
• Practical experience with Infrastructure as Code using Terraform, CI/CD pipelines, Docker, and serverless deployment models.
• Experience with Protobuf or comparable schema definition and serialization technologies.
• Familiarity with digital audience measurement, web analytics, or related data domains is desirable.
• Experience using AI coding assistants and the ability to review AI-generated code with attention to quality, security, and operational reliability.

Work Environment and Growth

This is a fully remote position offering flexible working arrangements and high levels of autonomy and ownership within a trusted engineering environment. The role provides the opportunity to lead the evolution of a modern, large-scale cloud-native data platform. You will work within a collaborative, supportive, and international engineering team, characterized by minimal bureaucracy and an emphasis on efficient collaboration and sustainable delivery. There are strong opportunities for technical leadership, professional growth, and continuous learning, alongside access to a broad network of SaaS professionals and technical leaders.

Compensation

Jobgether offers transparent, location-adjusted compensation, which will be shared prior to the interview process.