Principal Data Platform Engineer – Swedish Ad Platform

This is a fully remote position, open to applicants in Germany, +1 more country.

📋 Description

• Oversee the technical design and architecture of a contemporary enterprise-level data platform.

• Establish scalable data flows from Iceberg-based event storage into both analytical and operational data products.

• Assess and select technologies for orchestration, transformation, querying, serving, and storage solutions.

• Create reusable canonical entities and data models spanning advertising, campaigns, inventory, billing, and customer sectors.

• Develop scalable engineering patterns for batch processing and near-real-time operations.

• Construct dependable and observable data pipelines tailored for high-volume AdTech workloads.

• Implement capabilities for data quality, lineage, observability, and reconciliation.

• Collaborate with Platform Engineering teams to establish CI-enforced data contracts and governance standards.

• Define strategies for tenant isolation, access control, and regional data boundaries.

• Set standards for testing, deployment automation, schema evolution, and version control.

• Enhance platform performance, scalability, and infrastructure cost-effectiveness.

• Mentor engineers and promote engineering excellence within the team.

• Work closely with leadership and cross-functional stakeholders.

• Deliver the initial production-ready version of the platform.

• Create the foundational production data architecture, including documented architectural decisions, enforceable event contracts, verified canonical entities, and observable data quality and lineage.

⛳️ Requirements

• A minimum of 8 years of experience in designing and managing production-grade data platforms.

• Extensive expertise in distributed data systems and high-volume event-driven architectures.

• In-depth knowledge of modern lakehouse architectures and Apache Iceberg.

• Proficient SQL skills.

• Practical experience with Python, Java, Scala, or comparable programming languages.

• Familiarity with distributed processing and query technologies such as Spark, Flink, or Trino.

• Strong understanding of data modeling, partitioning strategies, and performance tuning.

• Proven track record in constructing batch and near-real-time data pipelines.

• Hands-on experience with AWS cloud infrastructure.

• Comprehensive understanding of CI/CD pipelines, Infrastructure as Code, and production observability.

• Experience in implementing data contracts, schema evolution, and data quality frameworks.

• Capability to make practical architectural decisions in greenfield environments.

• Upper-Intermediate or higher proficiency in English.

• Strong communication and technical leadership abilities.

🏝️ Benefits

• Options for remote work.

• Opportunity to engage with large-scale international products.

• Collaboration with a team of highly skilled professionals.

• Potential for long-term career growth.

• Mentorship and contributions toward engineering excellence.