About the role
Job Description
* 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
Qualifications
* 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
Additional Information
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.