Jobgether
Lead Data Platform Engineer
TLDR
Own the end-to-end data platform roadmap and lifecycle on a cloud-native stack, guiding architecture, reliability, and cross-functional collaboration for scalable data processing.
Accountabilities
- Own the end-to-end data platform roadmap, driving strategic decisions and execution across architecture, operations, and continuous improvement initiatives.
- Take responsibility for the complete data lifecycle, including data ingestion, streaming and batch processing, data modeling, quality assurance, reporting, and delivery pipelines.
- Lead the ongoing optimization of a cloud-native platform, focusing on reliability, scalability, maintainability, operational efficiency, and cost management.
- Establish and strengthen monitoring, observability, alerting, and incident response processes to ensure business-critical systems remain highly available and performant.
- Conduct platform assessments, identify technical risks and improvement opportunities, and develop pragmatic roadmaps for platform evolution.
- Define and promote engineering standards covering documentation, testing, code reviews, infrastructure management, and operational excellence.
- Collaborate closely with product, customer-facing, and leadership teams to translate business objectives into scalable technical solutions.
- Drive the adoption of AI-assisted engineering practices, including coding, testing, documentation, refactoring, and incident analysis workflows.
- Mentor team members, provide technical leadership, and ensure sustainable ownership of critical platform components and processes.
- Minimum of 5 years of experience in Data Engineering, Data Platform Engineering, Platform Engineering, or related roles within production environments.
- Strong proficiency in Go (Golang) with hands-on experience developing and maintaining backend systems and data processing applications.
- Extensive experience with Google Cloud Platform services, including Cloud Run, Pub/Sub, BigQuery, Dataflow, Cloud Storage, and Cloud SQL.
- Advanced SQL skills and solid expertise in analytical data modeling and large-scale data processing architectures.
- Experience with infrastructure-as-code practices using Terraform, CI/CD pipelines, containerized workloads, and modern cloud deployment methodologies.
- Familiarity with SQLMesh, dbt, or similar data orchestration and transformation frameworks is highly desirable.
- Knowledge of Protobuf or comparable schema definition and data serialization technologies.
- Experience implementing monitoring, observability, reliability, and operational best practices in production systems.
- Understanding of web analytics, audience measurement systems, or comparable large-scale data environments is advantageous.
- Practical experience using AI coding assistants and the ability to evaluate AI-generated code for quality, security, and maintainability.
- Excellent communication and stakeholder management skills, with the ability to engage both technical and non-technical audiences.
- Fluent German (C1 level) and good English communication skills for documentation and international collaboration.
- Strong problem-solving abilities, ownership mindset, and a proactive approach to technical leadership.
- Fully remote work environment with the flexibility to work from anywhere.
- High degree of autonomy and trust, allowing you to shape solutions and influence technical direction.
- Opportunity to take ownership of a modern cloud-native platform with significant business impact.
- Collaborative and supportive team culture focused on knowledge sharing and continuous improvement.
- Minimal bureaucracy and streamlined processes designed to maximize productivity and innovation.
- Access to a broad network of SaaS professionals for learning, collaboration, and professional development.
- Exposure to cutting-edge technologies, cloud platforms, AI-assisted engineering practices, and large-scale data systems.
- Inclusive and diverse workplace committed to equal opportunities and professional growth.
- Transparent compensation practices, with salary information shared during the hiring process.
Requirements
Benefits
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Benefits
Learning Budget
Access to a broad network of SaaS professionals for learning, collaboration, and professional development.
Transparent compensation
Transparent compensation practices, with salary information shared during the hiring process.
Remote-Friendly
Fully remote work environment with the flexibility to work from anywhere.
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Platform Engineer