Job Title

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 - 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 - Hands-on experience with LLMs and GenAI platforms - Background in enterprise-scale analytics platforms - Prior experience leading cloud data modernization programs