Principal Data Platform Engineer – Swedish Ad Platform
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Job Description
Principal Data Platform Engineer building an AI-first data platform for a global AdTech company. Designing event-driven lakehouse architecture, governed data products, and scalable analytics infrastructure.
Responsibilities:
- 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
- Deliver the first production-ready version of the platform
- Within the first six months, establish the first production data foundation, document architectural decisions, enforce event contracts, create tested canonical entities, make data quality and lineage observable, and enable other engineers to contribute
Requirements:
- 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
- Experience in AdTech or other high-volume event-processing domains is a plus
- Experience designing multi-tenant SaaS data architectures is a plus
- Familiarity with semantic layer technologies is a plus
- Experience supporting both analytics and ML/AI workloads is a plus
- Understanding of privacy regulations and data residency requirements is a plus
Benefits:
- Remote work option
- Long-term growth potential
- Opportunity to work on large-scale international products
- Collaboration with highly skilled professionals
- Technically ambitious environment
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