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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