Data Architect

Role Summary

• Lead enterprise-scale data platform architecture on GCP supporting audience intelligence, advertising analytics, content monetization, AI and advanced analytics initiatives.

Key Outcomes

• Build enterprise GCP data lakehouse architecture.
• Establish AI-ready data foundations and governance.
• Deliver Audience 360 and customer intelligence platforms.
• Enable real-time media, content and advertising analytics.

Core Responsibilities

• Architect platforms using BigQuery, Dataflow, Dataproc, BigLake, Dataplex, Pub/Sub and Looker.
• Design customer 360, audience analytics and content intelligence solutions.
• Implement data governance, metadata, quality and lineage frameworks.
• Support ML, GenAI, RAG and recommendation engine use cases.

Digital Media Experience (Mandatory)

• Digital Publishing Platforms
• Advertising Technology Platforms
• Campaign Analytics and Attribution
• Programmatic Advertising
• Content Monetization
• Audience Measurement and Analytics

GCP Technical Expertise

• BigQuery
• Dataflow
• Dataproc
• Dataplex
• BigLake
• Cloud Composer
• Pub/Sub
• Cloud Storage
• AlloyDB
• Looker
• Vertex AI

Leadership Expectations

• Lead architecture reviews
• Mentor architects and engineers
• Define engineering standards
• Partner with business and product leaders

Mandatory Criteria

• 12+ years data architecture experience
• 5+ years GCP experience
• Strong Digital Media, AdTech or MarTech background
• Large-scale BigQuery platform delivery experience