Senior Cloud Data Architect - Snowflake & AI-Ready

Consult

Sacramento (CA)

On-site

USD 130,000 - 170,000

Full time

2 days ago

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Job summary

Consult is seeking a Senior Data Architect to design and implement scalable cloud-native data solutions. You will partner with business and IT leadership to create end-to-end data architectures that support current needs and future growth.

This contract-to-hire role requires on-site presence two days per week in Oakland, CA or Rancho Cordova, CA, with GC/Citizen/EAD eligibility. Strong Snowflake, ETL/ELT, Azure, and AI/ML experience are essential.

Qualifications

4+ years of experience in modern cloud data architecture or related fields.
Degree in Computer Science or a related discipline.
Deep understanding of data analytics platforms including Snowflake, Matillion, Microsoft Fabric, Power BI, and Tableau.
Experience delivering enterprise data solutions: warehousing, lakes, lakehouse, data management, integration, and analytics.
Experience with Azure cloud architectures or hybrid/multi-cloud setups.
Ability to translate business requirements into scalable data architectures and communicate with stakeholders.
Strong governance, security, privacy, and regulatory compliance knowledge in data environments.
Experience enabling AI/ML and Generative AI use cases via data architectures.
Strong stakeholder management and cross-functional collaboration.

Responsibilities

Lead design and architecture of end-to-end data solutions translating business requirements into scalable, secure architectures.
Define target-state data architectures, blueprints, data flows, and storage strategies.
Establish standard patterns for ingestion, ETL/ELT, integration and data sharing.
Architect scalable data pipelines and workflows optimizing performance and cost.
Design cloud-native data architectures leveraging modern data platforms.
Enable AI/ML capabilities through data architectures supporting feature engineering and deployment.
Incorporate data governance, security, privacy, and compliance by design.
Ensure interoperability and data exchange across applications and domains.
Collaborate with EA, Infra, App Development, Data Engineering and business to define roadmaps.
Provide architectural oversight and governance for data platforms.
Drive innovation via feasibility studies, POCs, pilots.
Oversee vendors and third-party data solutions for security and standards.
Participate in architecture governance and design reviews.
Mentor data architects and engineers.