Senior Data Platform Architect - AI-Ready Lakehouse

Augustine Institute; Florissant (MO); On-site; USD 140,000 - 190,000; Full time

Job summary

The Augustine Institute seeks a Data Platform Architect to lead the design and implementation of a modern, AI-ready data foundation for its next generation of digital products and stakeholder experiences. This senior, hands-on role establishes structure, governance, and scalable data environments, advancing toward a lakehouse architecture built for future needs.

Responsibilities include driving data platform strategy, partnering with engineering and product teams to assess AI readiness, and

Qualifications

• 7+ years of experience in data engineering, data architecture, or a closely related discipline.
• Proven track record designing and implementing lakehouse or data warehouse architectures at scale.
• Hands-on experience with Databricks, Apache Spark, and Delta Lake.
• Deep expertise in ETL/ELT pipeline design and orchestration (e.g., dbt, Airflow, or equivalent).
• Strong command of data governance principles: cataloging, lineage, data contracts, and stewardship.
• Experience untangling complex, undocumented legacy environments and delivering structured, governed replacements.
• Familiarity with modern visualization and BI tooling.
• Ability to communicate architecture decisions and tradeoffs clearly to both technical and non-technical stakeholders.
• Experience with or strong understanding of AI/ML data patterns and readiness requirements.

Skills

Lakehouse architecture

ETL pipelines

Data governance

Stakeholder communication

AI/ML data patterns

Legacy modernization

Data visualization awareness

Education

Bachelor's degree in Computer Science/related field

Tools

Databricks

Apache Spark

Delta Lake

Airflow

dbt

Job description

The Augustine Institute seeks a Data Platform Architect to lead the design and implementation of a modern, AI-ready data foundation for its next generation of digital products and stakeholder experiences. This senior, hands-on role establishes structure, governance, and scalable data environments, advancing toward a lakehouse architecture built for future needs.

Responsibilities include driving data platform strategy, partnering with engineering and product teams to assess AI readiness, and