Principal Data Platform Architect for AI‑Ready Data

Releady; San Francisco (CA); Hybrid; USD 242,457,600 - 272,764,800; Full time

Job summary

Releady is seeking a Principal Data Engineer to design and deliver scalable data platforms across enterprise data lakes, warehouses, and data marts. You will lead data pipeline initiatives, mentor engineers, and collaborate with architecture and product teams to enable AI-ready analytics.

You will deploy on cloud platforms such as Snowflake, Databricks, and Synapse, emphasizing quality, governance, and cost efficiency while advancing enterprise data solutions for healthcare contexts.

Qualifications

• Bachelor's degree or equivalent experience.
• Experience supporting enterprise AI/ML, advanced analytics, and data product ecosystems.
• Data Vault 2.0, dimensional modeling, Lakehouse architecture, or domain-driven data design.
• Ability to influence enterprise architecture decisions and mentor senior engineering talent.
• Deep understanding of data management practices including data modeling, master data management, data integration, warehousing, privacy, and security.
• Experience applying AI-driven solutions in enterprise environments.
• Hands-on with SQL, Python, DBT Cloud, and DBT Core; fluency in NoSQL and Snowflake, Synapse, or Databricks.
• Design and scale large-volume, high-performance data platforms with parallel architectures.
• Knowledge of CI/CD, source control, and agile tooling like Git, Bitbucket, Jira.
• Experience in healthcare, regulated environments, or large enterprises is preferred.

Responsibilities

• Lead the design, development, and deployment of scalable data pipelines for data lakes, warehouses, and marts.
• Engineer robust ELT/ETL solutions ingesting diverse data sources.
• Apply Data Vault 2.0, dimensional models, and domain-driven design to analytics data products.
• Collaborate with design, architecture, and product teams to ensure secure, efficient designs.
• Build data solutions on Snowflake, Databricks, and Synapse with performance and cost efficiency.
• Embed data quality, validation, observability, lineage, and governance into pipelines.
• Champion DevOps and DataOps practices including CI/CD, testing, IaC, monitoring, and alerts.
• Provide hands-on leadership and mentor engineers; promote engineering standards and best practices.
• Support AI/ML-ready data assets and ensure trustworthy data for analytics use cases.

Skills

Data Vault 2.0

Dimensional modeling

Lakehouse architecture

Data integration

SQL

Python

DBT Cloud

DBT Core

NoSQL

Snowflake

Databricks

Synapse

CI/CD

Git

Jira

Bitbucket

Healthcare industry

AI/ML readiness

Education

Bachelor's degree or equivalent experience

Tools

Snowflake

Databricks

Synapse

Job description

Releady is seeking a Principal Data Engineer to design and deliver scalable data platforms across enterprise data lakes, warehouses, and data marts. You will lead data pipeline initiatives, mentor engineers, and collaborate with architecture and product teams to enable AI-ready analytics.

You will deploy on cloud platforms such as Snowflake, Databricks, and Synapse, emphasizing quality, governance, and cost efficiency while advancing enterprise data solutions for healthcare contexts.