Sigma Software is seeking a Principal Data Platform Engineer to join a greenfield initiative focused on building a next-generation, AI-first data platform for a global AdTech ecosystem. You will drive architectural decisions, establish engineering standards, and shape the foundation for scalable analytics and AI capabilities within a high-scale environment.
Key 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.
- Design reusable canonical entities and data models across advertising, campaigns, and customer domains.
- Establish scalable engineering patterns for batch and near-real-time processing.
- Implement data quality, lineage, observability, and reconciliation capabilities.
Requirements
- 8+ years of experience designing and operating production-grade data platforms.
- Deep understanding of modern lakehouse architectures and Apache Iceberg.
- Advanced SQL skills and production experience with Python, Java, or Scala.
- Experience with distributed processing technologies such as Spark, Flink, or Trino.
- Strong knowledge of AWS cloud infrastructure, CI/CD pipelines, and Infrastructure as Code.
What we offer
- Opportunity to work on large-scale international products with globally recognized brands.
- Collaboration with highly skilled professionals in a technically ambitious environment.
- Long-term growth potential within a company investing in AI-driven data capabilities.
- A fully remote work environment focused on complex distributed systems challenges.