Data Architect

The requirement has been open for a while
Most of the candidates that interviewed so far do not have enough architecture experience, they seem more like ETL developers and their snowflake experience is limited.

Please ensure candidates that are currently submitted have extensive architecture and snowflake experience.

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Position is contract-to-hire. Onsite required 2 days per week in either Oakland, CA or Rancho Cordova, CA. GC/Citizen/EAD only. Prefer GC/Citizen_

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Job Description

The Senior Data Architect will design and implement scalable data solutions using the latest and advanced technology and toolsets. This role offers the right candidate the rare opportunity to leverage their extensive background to design and architect scalable, secure, and modern cloud-native data solutions. The role will also be responsible for working closely with business partners and IT leadership to understand the organization's business requirements and work with the broader IT team to enable/build new capabilities in our data platform that will support the current needs and scale to accommodate future growth.

Responsibilities

Lead the design and architecture of end-to-end data solutions, translating business strategy and requirements into scalable, secure, high-performing architectures.

Define target-state data architectures and blueprints, including data flows, integration patterns, storage strategies, data processing, and consumption layers.

Establish and govern standard architecture patterns for data ingestion, transformation (ETL/ELT), integration, interoperability, and data sharing across platforms and domains.

Architect scalable and resilient data pipelines and workflows, optimizing for performance, cost, reliability, and operational efficiency.

Design cloud-native data architectures that leverage modern data platforms for elasticity, resilience, modularity, and scalability.

Enable AI/ML capabilities through data architectures that support experimentation, feature engineering, model development, deployment, and production consumption.

Incorporate data governance, security, privacy, and compliance by design, including access controls, data classification, masking, lineage, and regulatory requirements.

Design for interoperability and seamless data exchange across applications, data domains, platforms, and external systems.

Lead the evaluation and selection of data technologies and platforms in partnership with IT, Enterprise Architecture, and business stakeholders, ensuring alignment with enterprise capabilities and strategy.