AI Data Architect

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🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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3Pillar Global

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

💰 Private Equity Round on 2021-10

Consulting • Healthcare • Insurance

3Pillar Global is a modern application strategy, design, and engineering firm that specializes in delivering strategic software development initiatives for various industries. They offer a range of services, including application technology strategy, digital product engineering, data and analytics, and artificial intelligence development. 3Pillar Global focuses on helping organizations transform their bold ideas into breakthrough solutions by leveraging cutting-edge technologies such as generative and multimodal AI. They work with partners and clients across multiple sectors, including healthcare, financial services, insurance, media, and information services, to solve complex technology challenges and deliver high-performing results.

📋 Description

• Architect and own the enterprise AI data platform — the unified, governed layer that ingests, transforms, stores, and serves all data consumed by AI systems across the organisation. • Design multi-domain data models (lakehouse, data mesh, event-driven) that are structured from day one to serve AI workloads: clean lineage, versioned schemas, well-documented contracts, and low-latency serving APIs. • Define tools & technologies to develop automated data pipelines, write ETL processes, develop dashboard & report and create insights

🎯 Requirements

• 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.

🏖️ Benefits

• 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 • 12 Paid Holidays