Role Details
Experience: 12-18 Years
Location: Bangalore, India
Cloud Platform: Google Cloud Platform (GCP)
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
Large-scale BigQuery platform delivery experience

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