
Principal Data Platform Engineer (Swedish Ad Platform)
Sigma Software4 hours ago
Remote, UkraineStaff+
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.
- Select technologies for orchestration, transformation, querying, serving, and storage.
- Establish canonical entities and data models across advertising, campaigns, inventory, billing, and customer domains.
- Build scalable batch and near-real-time processing patterns and reliable, observable data pipelines.
- Implement data quality, lineage, observability, reconciliation, data contracts, and governance capabilities.
- Define tenant isolation, access control, regional data boundaries, testing, deployment automation, schema evolution, and versioning standards.
- Optimize platform performance, scalability, and infrastructure costs.
- Mentor engineers and contribute to engineering excellence and platform strategy.
Requirements
- 8+ years of experience designing and operating production-grade data platforms.
- Strong expertise in distributed data systems, high-volume event-driven architectures, and modern lakehouse architectures.
- Advanced SQL skills and production experience with Python, Java, Scala, or similar languages.
- Experience with Apache Iceberg and distributed processing or query technologies such as Spark, Flink, or Trino.
- Proven experience building batch and near-real-time data pipelines, data models, partitioning strategies, and performance optimizations.
- Hands-on experience with AWS cloud infrastructure and production observability.
- Strong understanding of CI/CD pipelines, Infrastructure as Code, data contracts, schema evolution, and data quality frameworks.
- Ability to make pragmatic architectural decisions in greenfield environments.
- Upper-Intermediate or higher English proficiency, strong communication, and technical leadership skills.
- Preferred qualifications include AdTech or high-volume event-processing experience, multi-tenant SaaS data architecture experience, semantic layer familiarity, support for analytics and ML/AI workloads, and knowledge of privacy regulations and data residency requirements.
Benefits
- Opportunity to work on a greenfield, next-generation AI-first data platform for a global AdTech ecosystem.
- Work on large-scale international products with experienced engineering teams and technically ambitious challenges.
- Long-term growth potential and the opportunity to shape platform strategy from day one.
Tech Stack
Categories
Data Engineering
About Sigma Software
Sigma Software is a London-headquartered, privately held IT consultancy that designs and builds custom software for startups and enterprises. The company provides end-to-end services—engineering, web and mobile development, .NET/Java platforms, AR/VR, and UI/UX—delivered via outsourcing, managed teams, and consulting. Founded in 2002, it supports long-term product development and modernization projects across multiple industries for global clients.