About The Role

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.