首席数据平台工程师（瑞典广告平台）

岗位摘要

• Lead the technical design and architecture of a modern enterprise-scale data platform • Define scalable data flows from Iceberg-based event storage into analytical and operational data products • Evaluate and select technologies for orchestration, transformation, querying, serving, and storage • Design reusable canonical entities and data models across advertising, campaigns, inventory, billing, and customer domains • Establish scalable engineering patterns for batch and near-real-time processing • Build reliable and observable data pipelines for high-volume AdTech workloads • Implement data quality, lineage, observability, and reconciliation capabilities • Collaborate with Platform Engineering teams to introduce CI-enforced data contracts and governance standards • Define tenant isolation, access control, and regional data boundary strategies • Establish standards for testing, deployment automation, schema evolution, and versioning • Optimize platform performance, scalability, and infrastructure costs • Mentor engineers and contribute to engineering excellence across the team • Partner closely with leadership and cross-functional 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 • Strong understanding of CI/CD pipelines, Infrastructure as Code, and production observability • Experience implementing data contracts, schema evolution, and data quality frameworks • Ability to make pragmatic architectural decisions in greenfield environments • Upper-Intermediate or higher English level • Strong communication and technical leadership skills WILL BE A PLUS• Experience in AdTech or other high-volume event-processing domains • Experience designing multi-tenant SaaS data architectures • Familiarity with semantic layer technologies • Experience supporting both analytics and ML/AI workloads • Understanding of privacy regulations and data residency requirements What success looks like within your first six months: • The first production data foundation is running.