Data Architect Position

Job Opportunity

Are you a skilled technologist looking for a challenging role in data architecture? This position offers the chance to design and implement secure data practices, lead the migration of AI/ML feature store workloads, and optimize Snowflake compute and storage resources. The ideal candidate will have experience working with Azure Architecture, ML or OPS, GenAI and an undergraduate degree or equivalent experience.

Job Description
As a key member of our team, you will be responsible for:
- Designing and implementing secure data practices
- Leading the migration of AI/ML feature store workloads from ADLS to Snowflake
- Optimizing Snowflake compute and storage resources to support data science workflows efficiently

Required Skills and Qualifications
- Experience working with Azure Architecture, ML or OPS, GenAI
- Undergraduate degree or equivalent experience

Benefits
The company offers comprehensive benefits and career development opportunities. As a team member, you will find a culture guided by inclusion, talented peers, and opportunities to grow professionally and personally.

Primary Responsibilities:
- SDRP Architect
- Architect and lead the migration of AI/ML feature store workloads from ADLS to Snowflake, ensuring scalability and performance
- Design and implement secure data practices including PHI/PII masking and SSH-based authentication for Databricks-Snowflake integration
- Design and deploy Snowflake warehouses, schemas, and environments across production and non-production landscapes
- Estimate and optimize Snowflake compute and storage resources to support data science workflows efficiently
- Databricks or UDLP SME
- Architect and govern Databricks workspaces outside of UAIS, ensuring secure, scalable access to ADLS-based feature stores aligned with enterprise standards
- Design and enforce Unity Catalog structures across environments to maintain robust data governance, lineage, and access control frameworks
- Define and optimize Databricks cluster policies to balance performance and cost-efficiency, driving architectural best practices across teams
- UAIS SME
- Own and manage the UAIS (United AI Studio) platform for the team, overseeing access provisioning, subscription lifecycle, and architectural alignment with AI model usage
- Lead deployment strategy and lifecycle management of OpenAI models within UAIS, acting as the primary liaison with the product team for platform enhancements and issue resolution
- Security Vulnerabilities Ownership
- Monitor and manage security vulnerabilities across On-Prem, Azure and UAIS platforms, coordinating with relevant teams for remediation and providing regular updates to leadership
- Team education and onboarding
- Educate and enable the Data Science team on new features and best practices across Snowflake, Databricks and UAIS platforms to maximize adoption and productivity

- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives to ensure compliance and adherence.

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