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Ventura Foods · 2 weeks ago

Principal Data Platform Architect

Irvine, CA

Full-time

Onsite

Lead/Staff

$146K/yr - $193K/yr

10+ years exp

Ventura Foods is seeking a Principal Data Platform Architect to define and drive the enterprise data platform strategy and roadmap. This role involves designing a modern lakehouse architecture on Snowflake and enabling self-service BI while ensuring scalable and secure data ecosystems for business value.

Food ProcessingManufacturing

H1B Sponsor Likely

Responsibilities

Define and own the enterprise data platform strategy and roadmap:

Develop the architectural vision for data, integration, analytics, and AI platforms

Align platform capabilities with evolving business needs such as growth, efficiency, compliance, and innovation

Establish architectural principles, standards, and governance

Design and govern Snowflake-based lakehouse architecture (medallion model):

Design the logical data models for bronze, silver, and gold layers

Ensure data quality, lineage, and security across structured and semi-structured data

Optimize performance, cost management, and multi-tenant scalability

Lead integration architecture across systems and data domains:

Define patterns for API-led, event-driven, and batch data movement

Standardize error handling, monitoring, and metadata capture

Ensure interoperability between enterprise applications, data warehouse, and operational platforms

Enable and expand self-service BI and analytics:

Architect semantic layers and governed datasets for analytics platforms

Define policies for certified vs. exploratory analytics

Deliver frameworks for data catalogs, data dictionaries, and end-user guides

Lay the foundation for machine learning and AI platforms:

Ensure data pipelines support ML feature engineering and model training

Partner with data science teams to establish MLOps best practices

Enable reuse of data assets for predictive and generative AI use cases

Qualification

Data Architecture & ModelingCloud Data PlatformsData Engineering & ELTIntegration PatternsAnalytics & BI EnablementMachine Learning & AI EnablementSecurityCompliance & GovernanceLeadership & CommunicationStrategic Thinking

Required

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field required

10+ years of experience in data architecture, data engineering, or enterprise data platforms

5+ years in a senior/lead architect role driving platform strategy, standards, and governance at enterprise scale

Proven expertise designing and operating cloud-based data platforms (Snowflake or similar), including lakehouse/medallion architectures

Hands-on experience with ELT/ETL tools, data modeling, and metadata management (dbt, Fivetran, or comparable)

Strong background in enterprise integration (API-led, event-driven, or batch patterns)

Demonstrated success enabling self-service BI and analytics platforms with governed semantic layers

Exposure to machine learning/AI platforms and MLOps practices for operationalizing models

Track record of partnering with business leaders to align data platforms with strategic business needs (growth, efficiency, compliance, innovation)

Excellent leadership, communication, and stakeholder management skills; experience influencing technical and executive audiences

Data Architecture & Modeling – Expert in designing lakehouse architectures (bronze/silver/gold) and enterprise data models that support both analytics and AI/ML workloads

Cloud Data Platforms – Deep hands-on knowledge of Snowflake (or equivalent cloud-native platforms), including performance tuning, cost optimization, multi-tenant design, and governance

Data Engineering & ELT – Strong proficiency in dbt or similar transformation frameworks, ELT/ETL orchestration, metadata management, and automation of data pipelines

Integration Patterns – Advanced understanding of API-led, event-driven, and batch integration; skilled at designing reusable integration frameworks

Analytics & BI Enablement – Skilled at architecting self-service BI environments, semantic layers, and governed datasets; experience with enterprise BI tools

Machine Learning & AI Enablement – Familiarity with ML pipelines, feature stores, and MLOps practices to operationalize AI models

Security, Compliance & Governance – In-depth knowledge of data security, privacy, and governance frameworks, including RBAC/ABAC models and regulatory compliance

Leadership & Communication – Strong ability to translate complex technical concepts into business value, influence senior executives, and guide cross-functional teams

Strategic Thinking – Ability to balance long-term platform vision with short-term delivery, ensuring scalability, adaptability, and cost-effectiveness

Preferred

Master's degree in Computer Science, Information Management, or Business/Technology discipline

Company

Ventura Foods

Glassdoor3.4

Ventura Foods – a leading producer of custom and proprietary dressings, sauces, mayonnaises, oils and other flavorings. It is a sub-organization of CHS Hedging.

Founded in 1867

Brea, California, USA

1001-5000 employees

http://www.venturafoods.com/

H1B Sponsorship

Ventura Foods has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (3)

2024 (3)

2023 (1)

2021 (3)