GCP Solution Architect At Zuci Systems!

Job Description:

Job Title: GCP Solution Architect

Location

Key Responsibilities

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

Required Skills & Qualifications

• Bachelors or Masters degree in Computer Science, Engineering, or related field.
• BigQuery, Cloud Pub/Sub, Dataflow, Dataproc, Cloud Composer (Airflow), Vertex AI, AI Platform, AutoML, Cloud Functions, Cloud Run, Looker, Apigee, Dataplex, GKE
• 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
• Event-driven and microservices architecture using APIs, streaming pipelines, and edge delivery networks.
• Integration with platforms like Google Marketing Platform, Google Ads Data Hub, Snowplow, Segment, or similar.
• 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.
• 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.

If you know someone suitable, feel free to forward their resume to aarthi.murali@zucisystems.com.

Regards,

Aarthi Murali