AI Data Architect at 3pillarglobal — Remote, USA | Base Career

Full Job Posting

15+ years of hands-on data engineering and architecture experience, alongside building production AI/ML and LLM-era data infrastructure.
Strong Experience with either Databricks or Snowflake; experience with both is desirable.
Strong data architecture patterns & principles, ability to design secure & scalable data lakes, data warehouse, data hubs, and other event-driven architectures
Expertise in designing and writing ETL processes in Python / Java / Scala
Own the full data stack: real-time streaming (Kafka, Spark Structured Streaming), batch processing (Databricks, PySpark, Delta Lake), cloud storage and compute (AWS, Azure), and data quality /metadata management.
Drive modernisation of legacy pipelines (on-prem ETL, batch DWH) to cloud-native, AI-ready architectures with measurable improvements in cost, latency, and delivery velocity.
Proven experience designing enterprise-scale AI data platforms that serve multiple AI consumers —not just one application or pipeline.
Hands-on experience with vector stores, semantic models, knowledge graphs, and retrieval infrastructure in production environments.
Working knowledge of LLMOps: model serving pipelines, MLflow, CI/CD for AI, automated evaluation, and production monitoring.
Medical Insurance benefits as per company policy.
Dental insurance as per company policy.
Vision insurance as per company policy.
Employer paid Disability, Life, and AD&D insurance
Unlimited PTO
Paid parental leave
401K
Flexible work policy

AI Data Architect