Principal Data Architect

Central Health•Austin, TX

1d•Hybrid

About The Position

We are seeking a highly skilled Principal Data Architect to lead the architecture, design, implementation, and governance of our enterprise data ecosystem. This role requires extensive expertise in modern cloud-based data architectures, integration platforms, and governance frameworks. The ideal candidate will bring strong experience with Data Lakehouse concepts using Azure Blob Storage or Amazon S3, ELT/ETL platforms, integration platforms, Snowflake Data Cloud, and data governance platforms, as well as proven knowledge in CI/CD pipelines and medallion architecture. The Principal Data Architect will play a critical role in shaping our data strategy, ensuring scalability, performance, compliance, and alignment with organizational objectives. Hybrid = Individuals in this position may work both at an approved off-site location and onsite at a primary location or multiple locations based on business needs.

Requirements

Hi School Diploma or equivalent (higher degree accepted with 4 years of professional technology experience OR Bachelor's Degree (higher degree accepted) in Computer Science, Information Systems, Data Management, or related field.
10 years experience in data architecture, data engineering, or enterprise architecture.
5 years direct Snowflake experience
Snowflake SnowPro Core Certification (within 6 months of hire)
Boomi Certification (within 3 months of hire)
Snowflake SnowPro Advanced: Architect (within 1 year)

Responsibilities

Lead the design and architecture of enterprise-scale data solutions across cloud and hybrid environments.
Define and implement data architecture frameworks, with a focus on medallion (bronze, silver, gold) architecture for structured and unstructured data.
Drive adoption and optimization of Azure Blob Storage for secure, cost-effective data storage and retrieval.
Architect and oversee data integration workflows using the Boomi Integration Platform to streamline data movement across systems.
Implement scalable Snowflake Data Cloud solutions, including Snowpipe, Snowpark, Streamlit, AI features, data sharing, performance tuning, and security best practices.
Establish and maintain data governance policies in alignment with OvalEdge, ensuring compliance, quality, and metadata management.
Collaborate with DevOps teams to design and implement CI/CD pipelines for data infrastructure, ETL/ELT processes, and analytics workloads.
Partner with stakeholders across business and technology to translate business requirements into robust data solutions.
Provide technical leadership, mentorship, and architectural guidance to engineering and data teams.
Stay current with emerging technologies, cloud-native services, and data management trends to continuously improve the data landscape.