Hybrid Enterprise Data Architect: Lead Data Platform & AI

Torani (R. Torre & Co.); San Leandro (CA); Hybrid; USD 172,000 - 191,000; Full time

Benefits offered by this job

ESOP ownership

Annual bonus

401(k) match

Comprehensive benefits

Job summary

Torani is seeking an Enterprise Data Architect in San Leandro to shape Torani's evolving data ecosystem and drive scalable data platforms. You will partner with IT and business teams to define architecture and standards for ODS, data lakehouse, and pipelines, while guiding internal data engineering growth.

You will lead architecture governance, collaborate across vendors and partners, and ensure the data foundation supports analytics, governance, and AI initiatives in a fast-paced environment.

Qualifications

• 7+ years of progressive experience in data engineering, data architecture, or related technical roles, including 3+ years designing or leading enterprise data architecture solutions.
• Deep knowledge of modern cloud data architecture, data modeling, integration patterns, and enterprise data pipelines.
• Hands-on experience with modern cloud and data technologies such as Snowflake, Azure, AWS, or comparable platforms.
• Experience building or scaling data engineering capabilities, including leading technical talent and effectively leveraging external partners.

Responsibilities

• Define and implement data platform architecture and roadmaps.
• Build and lead internal data engineering capability within Torani.
• Collaborate with business and technology partners to align data strategy and governance.

Skills

Data engineering

Data architecture

Cloud data platforms

Team leadership

Tools

Snowflake

Azure

AWS

Job description

Torani is seeking an Enterprise Data Architect in San Leandro to shape Torani's evolving data ecosystem and drive scalable data platforms. You will partner with IT and business teams to define architecture and standards for ODS, data lakehouse, and pipelines, while guiding internal data engineering growth.

You will lead architecture governance, collaborate across vendors and partners, and ensure the data foundation supports analytics, governance, and AI initiatives in a fast-paced environment.