Job Description

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