Senior Data & AI Developer GCP Platform & Architecture

Overview We are looking for a Senior Data & AI Developer to lead the design and implementation of a GCP-based data and AI platform . This role will drive architecture decisions, build scalable pipelines, and implement AI-driven monitoring and data quality solutions. Responsibilities Key Responsibilities Architect and implement end-to-end data pipelines Design and maintain a medallion data architecture (Bronze, Silver, Gold) Lead development of data transformations using dbt Build scalable ELT pipelines using SQL and Python Design and operate Lakehouse architecture using open table formats (Apache Iceberg, Delta Lake, or Hudi) Architect and maintain batch and streaming data pipelines Apply cost-aware data modeling and query optimization Implement AI/ML solutions for pipeline monitoring and data quality Implement AI/ML and GenAI use cases for predictive analytics Optimize reporting datasets for BI and analytics consumption Design metadata management and data cataloging solutions Define standards for data modeling, documentation, and governance Build and maintain CI/CD pipelines for data workloads Mentor junior engineers and set engineering best practices Qualifications Required Qualifications 610+ years of experience in data engineering, analytics, or AI Strong expertise in Google Cloud Platform / AWS ( BigQuery , GCS, Composer, etc.) Advanced SQL and Python skills Advanced experience using dbt for analytics engineering Strong background in data modeling and semantic layer design Experience supporting BI tools and executive reporting Experience designing data lakes and data warehouses Strong understanding of ELT, orchestration, and data integration Experience with CI/CD and DevOps practices for data platforms Experience with surfacing data sets to Agents Experience with API-based data ingestion and data surfacing Nice to Have Hands-on experience with LLMs and GenAI platforms Background in enterprise-scale analytics platforms Prior experience leading cloud data modernization programs Overview We are looking for a Senior Data & AI Developer to lead the design and implementation of a GCP-based data and AI platform . This role will drive architecture decisions, build scalable pipelines, and implement AI-driven monitoring and data quality solutions. Responsibilities Key Responsibilities Architect and implement end-to-end data pipelines Design and maintain a medallion data architecture (Bronze, Silver, Gold) Lead development of data transformations using dbt Build scalable ELT pipelines using SQL and Python Design and operate Lakehouse architecture using open table formats (Apache Iceberg, Delta Lake, or Hudi) Architect and maintain batch and streaming data pipelines Apply cost-aware data modeling and query optimization Implement AI/ML solutions for pipeline monitoring and data quality Implement AI/ML and GenAI use cases for predictive analytics Optimize reporting datasets for BI and analytics consumption Design metadata management and data cataloging solutions Define standards for data modeling, documentation, and governance Build and maintain CI/CD pipelines for data workloads Mentor junior engineers and set engineering best practices Qualifications Required Qualifications 610+ years of experience in data engineering, analytics, or AI Strong expertise in Google Cloud Platform / AWS ( BigQuery , GCS, Composer, etc.) Advanced SQL and Python skills Advanced experience using dbt for analytics engineering Strong background in data modeling and semantic layer design Experience supporting BI tools and executive reporting Experience designing data lakes and data warehouses Strong understanding of ELT, orchestration, and data integration Experience with CI/CD and DevOps practices for data platforms Experience with surfacing data sets to Agents Experience with API-based data ingestion and data surfacing Nice to Have Hands-on experience with LLMs and GenAI platforms Background in enterprise-scale analytics platforms Prior experience leading cloud data modernization programs