Principal Data Platform Engineer (Swedish Ad Platform)

Stack

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

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
• ▹Strong communication and technical leadership skills

Nice to have

• ▹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

Soft skills

About the company

Sigma Software works with experienced engineering teams; here they are building a platform based on immutable event-driven architecture, governed data contracts and modern lakehouse principles.