Senior Data & AI Developer – GCP Platform & Architecture

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

Required Qualifications

• 6–10+ 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