Principal Data Platform Engineer (Swedish Ad Platform)

3 days ago

Remote, EMEA or Bucharest, RomaniaStaff+

Responsibilities

Lead the technical design and architecture of an enterprise-scale data platform.
Define scalable data flows from Iceberg-based event storage into analytical and operational data products.
Select technologies for orchestration, transformation, querying, serving, and storage.
Establish canonical entities and data models across advertising, campaigns, inventory, billing, and customer domains.
Build reliable, observable batch and near-real-time data pipelines for high-volume AdTech workloads.
Implement data quality, lineage, observability, reconciliation, governance, and data contracts.
Define tenant isolation, access control, regional data boundaries, schema evolution, versioning, testing, and deployment standards.
Optimize platform performance, scalability, and infrastructure costs.
Make architectural decisions in a greenfield environment and document them clearly.
Mentor engineers and provide technical leadership across teams and stakeholders.

8+ years of experience designing and operating production-grade data platforms.
Strong expertise in distributed data systems and high-volume event-driven architectures.
Deep understanding of modern lakehouse architectures and Apache Iceberg.
Advanced SQL skills and production experience with Python, Java, Scala, or similar languages.
Experience with distributed processing and query technologies such as Spark, Flink, or Trino.
Strong knowledge of data modeling, partitioning strategies, and performance optimization.
Proven experience building batch and near-real-time data pipelines.
Hands-on experience with AWS cloud infrastructure.
Understanding of CI/CD pipelines, Infrastructure as Code, and production observability.
Experience implementing data contracts, schema evolution, and data quality frameworks.
Upper-Intermediate or higher English proficiency.
Strong communication and technical leadership skills.
AdTech or other high-volume event-processing experience is a plus.
Experience designing multi-tenant SaaS data architectures is a plus.
Familiarity with semantic layer technologies is a plus.
Experience supporting analytics and ML/AI workloads is a plus.
Understanding of privacy regulations and data residency requirements is a plus.

Opportunity to work on large-scale international products in a technically ambitious environment.
Collaboration with experienced engineering teams and highly skilled professionals.
Long-term growth potential through architectural ownership of a greenfield platform.

1,001-5,000 employees