Senior Data Architect - Snowflake Data Platform Lead

Biorce; Austin (TX); Hybrid; USD 170,000 - 210,000; Full time

Benefits offered by this job

MacBook

Health insurance

Dental insurance

Vision insurance

Hybrid work model

Company events

Pet-friendly office

Job summary

Biorce, a Healthtech company, is hiring a Lead Data Architect to shape the core data platform from our Austin hub. You will define the Snowflake-based architecture, data modeling standards, and secure access controls, partnering with Data Engineering to scale pipelines and ensure reliability.

We seek a seasoned architect with cloud data warehouse design experience in regulated environments, strong communication, and a vision for how data foundations support AI and analytics across the business.

Qualifications

• 7+ years in data architecture/engineering with Snowflake.
• Experience designing cloud data warehouses at scale.
• Strong data modeling, ETL/ELT, and security controls.
• Comfortable in regulated/compliance environments.
• Excellent written and verbal English.

Responsibilities

• Design and own Biorce's Snowflake-based data architecture end to end.
• Define data modeling standards, warehousing strategy, and security.
• Partner with Data Engineering to translate architecture into pipelines.
• Own performance, cost efficiency, and reliability of the data platform.
• Set standards for onboarding new data domains and advise on build-vs-buy.

Skills

Snowflake experience

Cloud data warehousing

Data modeling

ETL/ELT design

Data security

Leadership

English communication

Education

Bachelor's in CS/Engineering

Master's preferred

Tools

Snowflake

dbt / ETL tools

Job description

Biorce, a Healthtech company, is hiring a Lead Data Architect to shape the core data platform from our Austin hub. You will define the Snowflake-based architecture, data modeling standards, and secure access controls, partnering with Data Engineering to scale pipelines and ensure reliability.

We seek a seasoned architect with cloud data warehouse design experience in regulated environments, strong communication, and a vision for how data foundations support AI and analytics across the business.