Principal Data Architect and Manager - Service Special Projects

What you'll do

• Define and lead the lakehouse, streaming, governance, privacy, and serving-layer architecture for data pipelines supporting search, ranking, and on-device experiences.
• Set the technical roadmap, deliver reliable ingestion and transformation systems, and establish platform SLAs, quality metrics, and observability.
• Hire, manage, mentor, and develop data engineers; coordinate with partner teams and senior leadership.

What they ask for

• MS degree in Computer Science or a related degree, and 12+ years of experience in Data Architecture, Data Engineering, or Platform Engineering, including at least 5 years as a Principal, Staff, or Lead Manager.
• Proven experience managing and leading engineers, including hiring, performance management, and technical mentorship.
• Track record shipping and operating petabyte-scale, low-latency data platforms; deep cloud object storage expertise and hands-on streaming experience with Apache Kafka or comparable brokers.
• Experience with entity resolution, conflation, or knowledge graphs at scale; multimodal data pipelines integrating ML inference, including LLMs and embedding models.

Nice to have

• Production experience deploying and optimizing LLMs or ML models, including inference runtimes, serving frameworks, batching, KV-cache, and GPU utilization.
• Experience with data governance tools, Infrastructure as Code, CI/CD, graph databases, or petabytes of unstructured media data.

Pay

$237,600 and $401,700 (base salary)

Tools

Apache Kafka, AWS S3, Parquet, Iceberg, Delta, Spark Structured Streaming, Flink, Scala

AI focus

Architect multimodal data pipelines that integrate ML model inference, including LLMs and embedding models, for enrichment and transformation; familiarity with model-serving trade-offs informs platform design.