- Domain: Digital Media, Publishing, AdTech, MarTech, Audience Analytics
- Hands-on requirement: Minimum 70% architecture and engineering involvement
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
- Robust Digital Media, AdTech or MarTech background