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Principal Data Platform Engineer

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Principal Data Platform Engineer in Remote

  • Sigma Software
  • Full time
  • Email
  • APAC

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.
  • Design canonical entities and data models across advertising, campaigns, inventory, billing, and customer domains.
  • Establish scalable patterns for batch and near-real-time processing and build reliable, observable data pipelines.
  • Implement data quality, lineage, observability, reconciliation, data contracts, governance, schema evolution, and versioning capabilities.
  • Define tenant isolation, access control, and regional data boundary strategies.
  • Establish standards for testing, deployment automation, and infrastructure cost optimization.
  • Make architectural decisions, document them, mentor engineers, and contribute to engineering excellence.
  • Deliver the first production data foundation and enable other engineers to contribute effectively.

Requirements

  • 8+ years of experience designing and operating production-grade data platforms.
  • Strong expertise in distributed data systems, high-volume event-driven architectures, 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, performance optimization, batch pipelines, and near-real-time pipelines.
  • Hands-on experience with AWS cloud infrastructure, 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 proficiency, strong communication, and technical leadership skills.
  • AdTech or other high-volume event-processing experience, multi-tenant SaaS data architecture experience, semantic-layer familiarity, analytics and ML/AI workload experience, and knowledge of privacy and data residency requirements are advantageous.

Benefits

  • Opportunity to work on a greenfield, next-generation AI-first data platform for a global AdTech ecosystem.
  • Collaboration with experienced engineering teams and highly skilled international professionals.
  • Opportunity to shape platform architecture and engineering standards from day one.
  • Long-term growth potential in a technically ambitious environment.

Sigma Software

Sigma Software delivers innovative software solutions that empower businesses to streamline operations, enhance customer experiences, and drive digital transformation. By combining agile development practices with deep industry expertise, we create scalable, secure, and user‑friendly applications...

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