Senior Data Architect
Core
Designing structural foundations for data products to accelerate business growth, deepen product understanding, and optimize operations within a unified data mesh platform.
Role type
Senior Data Architect / Data Modeler
Builds
Interoperable, scalable, and trustworthy data products and a unified global lakehouse.
Domain
Health & Wellness / Data Engineering & Architecture
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data Mesh principles, Cloud platform mastery (AWS, GCP, Azure), Lakehouse architecture, Data modeling (Star/Snowflake schemas), MDM/RDM, Vector-based data design, RAG patterns, HIPAA/PHI compliance, Distributed processing (Spark), Orchestration (Airflow, Dagster), SQL, Python, dbt, Kafka/Kinesis
Preferred skills
Healthcare/wellness industry experience, Advanced degree in Engineering/Data Science/CS, Production-quality AI/ML experience, Cost tiering strategies
Technologies
Databricks, Google BigQuery, Snowflake, Databricks, VertexAI, MLOps, MLFlow, dbt Cloud, Airflow, Dagster, Kafka, Kinesis, Spark, Python, SQL, Iceberg, Pulumi, Docker, Microstrategy, Tableau, Power BI, Thoughtspot
Responsibilities
Design and manage data domains for interoperable data products; Build and optimize the Data Lakehouse; Implement federated data governance; Partner with Data Engineering and Data Science teams; Design vector-based architectures for LLM reporting and Agentic AI; Establish scalable data management frameworks and data dictionaries.
Seniority
Senior, hands-on IC
