Staff Application Database Architect

You have experience in the following:

OLTP Database Engineering (Primary): Deep, hands-on expertise in relational databases (PostgreSQL, MySQL, Aurora, or equivalent) supporting production web applications — schema design, query optimization, indexing, partitioning, replication, and HA/DR.

Application & Web Service Data Access: Strong experience building backend data layers for web applications and services in Python, with expert-level fluency in SQLAlchemy and/or the Django ORM. Deep understanding of connection pooling, caching (Redis/Memcached), transaction management, and common ORM pitfalls at scale.

Data Modeling: Expert-level conceptual, logical, and physical modeling for transactional/OLTP workloads (3NF or equivalent), including modeling for healthcare/clinical domains.

Database Engineering & DBA Leadership: Performance tuning, partitioning, indexing strategy, replication, HA/DR, and operational excellence for production relational databases.

Cloud Platforms: Building data systems in modern cloud ecosystems — AWS preferred (RDS/Aurora, ElastiCache, etc.) — with a strong grasp of cost, security, and reliability tradeoffs at scale.

Healthcare Data & Compliance: Working with clinical, imaging, or device data under regulatory regimes such as FDA, HIPAA, and GDPR; familiarity with healthcare data standards (e.g., FHIR, HL7, DICOM) is a strong plus.

Technical Leadership: Mentoring senior engineers, driving cross-team architectural decisions, establishing engineering standards, and influencing technology selection across multiple teams and programs.

Nice to have (bonus, not required):

Analytics / Data Lake Exposure: Familiarity with Data Lake or lakehouse concepts (e.g., S3, Glue, Spark, Airflow) for the minor analytics-handoff portion of the role.

AI Enablement & Semantic Data: Exposure to metadata, schema registries, ontologies, or semantic layers that make data usable by AI/agentic systems.

Application-Grade Data Systems: Building rock-solid transactional databases that real clinicians and applications depend on every day.

Engineering Excellence: Championing high-quality data systems, rigorous review and testing practices, and elevating the technical baseline of the team.

Hands-On Ownership: Staying close to the code and the query plan — you'd rather fix the slow query yourself than just write a standard for it.

Constructive Collaboration: Fostering open communication across Engineering, IT, Research, and Systems Engineering, and guiding healthy technical debates that result in better outcomes.

Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent experience. Master's preferred.

10+ years of relevant industry experience as a backend/application database engineer or data architect, with deep, hands-on OLTP experience supporting production web applications or web services. Data warehousing/ETL experience is a plus.

A reasonable estimate of the base salary compensation range is $190,000 to $250,000, plus bonus and equity. #LI-Hybrid