Principal Data Platform Engineer (Swedish Ad Platform)

- 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.

- Clear architectural decisions have been made and documented.

- Events entering the data platform have enforceable contracts.

- Core canonical entities exist and are tested.

- Data quality and lineage are observable.

- Other engineers can contribute without needing to understand every implementation detail.

Join a greenfield initiative focused on building a next-generation AI-first data platform for a global AdTech ecosystem. We are looking for a Principal/Staff Data Platform Engineer who will drive architectural decisions, establish engineering standards, and shape the foundation for scalable analytics and AI capabilities.

As part of Sigma Software , you will collaborate with experienced engineering teams and contribute to a platform designed around immutable event-driven architecture, governed data contracts, and modern lakehouse principles. This role is ideal for a Principal-level engineer who enjoys solving complex distributed systems challenges and influencing platform strategy from day one.

We offer the opportunity to work on large-scale international products, collaborate with highly skilled professionals, and contribute to a technically ambitious environment with long-term growth potential.
CUSTOMER

Our Customer is a Sweden-based AdTech company specializing in advanced self-serve advertising platforms that automate direct tra