GCP Data Solution Architect

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Is Digital Engineering your forte?

Solution Architect – Data & AI (GCP + AdTech Focus)

Experience: 15+ Years

Employment Type: Full Time

Role Overview:

We are seeking a highly experienced Solution Architect with deep expertise in Google Cloud Platform (GCP) and a proven track record in architecting data and AI solutions for the AdTech industry. This role will be pivotal in designing scalable, real-time, and privacy-compliant solutions for programmatic advertising, customer analytics, and AI-driven personalization. The ideal candidate should blend strong technical architecture capabilities with deep domain expertise in advertising technology and digital marketing ecosystems.

Key Responsibilities:

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  Architect and lead GCP-native data and AI solutions tailored to AdTech use cases—such as real-time bidding, campaign analytics, customer segmentation, and look alike modeling.
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  Design high-throughput data pipelines, audience data lakes, and analytics platforms leveraging GCP services like BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI, etc.
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  Collaborate with ad operations, marketing teams, and digital product owners to understand business goals and translate them into scalable and performant solutions.
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  Integrate with third-party AdTech and MarTech platforms, including DSPs, SSPs, CDPs, DMPs, ad exchanges, and identity resolution systems.
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  Ensure architectural alignment with data privacy regulations (GDPR, CCPA) and support consent management and data anonymization strategies.
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  Drive technical leadership across multi-disciplinary teams (Data Engineering, MLOps, Analytics) and enforce best practices in data governance, model deployment, and cloud optimization.
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  Lead discovery workshops, solution assessments, and architecture reviews during pre-sales and delivery cycles.

GCP & AdTech Tech Stack Expertise:

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  BigQuery, Cloud Pub/Sub, Dataflow, Dataproc, Cloud Composer (Airflow), Vertex AI, AI Platform, AutoML, Cloud Functions, Cloud Run, Looker, Apigee, Dataplex, GKE
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  Deep understanding of programmatic advertising (RTB, OpenRTB), cookie-less identity frameworks, and AdTech/MarTech data flows.
• 
  Experience integrating or building components like:

• Data Management Platforms (DMPs)
  
• Customer Data Platforms (CDPs)
  
• Demand-Side Platforms (DSPs)
  
• Ad servers, attribution engines, and real-time bidding pipelines

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  Event-driven and microservices architecture using APIs, streaming pipelines, and edge delivery networks.
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  Integration with platforms like Google Marketing Platform, Google Ads Data Hub, Snowplow, Segment, or similar.
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  Strong understanding of IAM, data encryption, PII anonymization, and regulatory compliance (GDPR, CCPA, HIPAA if applicable).
• 
  Experience with CI/CD pipelines (Cloud Build), Infrastructure as Code (Terraform), and MLOps pipelines using Vertex AI or Kubeflow.
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  Strong experience in Python and SQL; familiarity with Scala or Java is a plus.
• 
  Experience with version control (Git), Agile delivery, and architectural documentation tools.