Solution Architect

Role Overview

Solution Architect

Key Responsibilities

• Architect and lead GCPnative solutions for AdTech: realtime bidding (RTB/OpenRTB), campaign analytics, lookalike modeling, and audience segmentation.
  
• Design highthroughput data pipelines, eventdriven architectures, and unified audience data lakes leveraging GCP services:

  BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Cloud Composer (Airflow), Dataplex

  ,

  Vertex AI / AutoML

  ,

  Cloud Functions

  ,

  Cloud Run

  ,

  GKE

  ,

  Looker

  , and

  Apigee

• Collaborate with ad ops, marketing, and product stakeholders to translate business goals into architecture roadmaps, lead discovery workshops, solution assessments, and architecture reviews in presales and delivery cycles nexusitgroup.comSmartRecruiters.
  
• Integrate with thirdparty AdTech/MarTech platforms including

  DSPs, SSPs, CDPs, DMPs, ad exchanges

  , identity graphs, and consent/identity resolution systems (e.g. LiveRamp, The Trade Desk, Google Ads Data Hub).
• Ensure architecture aligns with

  GDPR, CCPA

  , IAB TCF and data privacy regulations—support consent management, anonymization, encryption, and access controls.
• Lead multidisciplinary technical teams (Data Engineering, MLOps, Analytics), enforce best practices in data governance, CI/CD, and MLOps (via

  Cloud Build

  , Terraform, Kubeflow/Vertex AI pipelines).
• Mentor engineers, run architecture reviews, define governance, cost optimization, security strategy and system observability.
  
• Conduct handson prototyping and PoCs to validate AI/ML capabilities, rapid experimentation before fullscale implementation Machine Learning Jobs.
  

Tech Stack Expertise & Qualifications

• 15+ years

  in technical architecture, consulting, or senior engineering roles (preferably with majority in data & analytics); at least

  5+ years

  handson with GCP architectures
• Indepth knowledge and handson experience of:
  
• GCP data and analytics stack:

  BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Dataplex, Cloud Storage

• AI/ML on GCP:

  Vertex AI, AI Platform, AutoML

  , model deployment, inference pipelines
• Compute frameworks:

  Cloud Functions

  ,

  Cloud Run

  ,

  GKE

  ,

  Apigee

• Business intelligence and visualization:

  Looker

• Infrastructure as code:

  Terraform

  ; CI/CD pipelines:

  Cloud Build

  , Git-based workflows
• Skilled in

  Python

  and

  SQL

  ; familiarity with Java or Scala is a plus.
• Experience designing

  eventdriven architectures, streaming data pipelines, microservices

  , and APIbased integrations.
• Proven AdTech domain expertise:

  programmatic advertising, RTB/OpenRTB, identity resolution, cookieless frameworks, DMPs/CDPs

  data flows .
• Proven experience with

  data governance, encryption, IAM, PII anonymization

  , privacy-enhancing tech.
• Strong ability to code prototypes or PoCs to solve client challenges quickly, with high-quality architectural foundations
  
• Excellent communication skills, able to clearly present complex designs to both technical and nontechnical audiences.