About the job
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 ( 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
Requirements
- GCP
- Data Pipelines
- SQL
- Python
Preferred Technologies
- GCP
- Data Pipelines
- SQL
- Python
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