Senior Data & BI Architect

San Jose, CA San Jose CA 95103

Date : Today (Nov-27-25)

Senior Data & BI Architect

San Jose, CA

Today (Nov-27-25)

Work Authorization

US Citizen
GC
H1B
GC EAD, TN EAD, L2 EAD

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect

Rate/Salary ($)

:

$60K-140K/ Year

Duration

:

6 to 12 Months

Sp. Area

:

BI, Analytics, Reporting Tools

Sp. Skills

:

Business Intelligence

Consulting / Contract

Required Skills :

Data Architecture, BI Architecture, Azure, GCP, AWS, AI/ML, Snowflake, Kubernetes

Preferred Skills :

Domain :

IT/Software

Work Authorization

US Citizen
GC
GC EAD, TN EAD, L2 EAD
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect

Rate/Salary ($)

:

$60K-140K/ Year

Duration

:

6 to 12 Months

Sp. Area

:

BI, Analytics, Reporting Tools

Sp. Skills

:

Business Intelligence

Consulting / Contract

Required Skills :

Data Architecture, BI Architecture, Azure, GCP, AWS, AI/ML, Snowflake, Kubernetes

Preferred Skills :

Domain : IT/Software

Apply Now

DMS Vision, Inc.
Frisco, TX
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Job Description :

Job Title : Senior Data & BI Architect

Location : Onsite San Jose, CA or Lehi, Utah (Relocation is fine)

Duration: 6-12 month project

Job Description:- (Highlighted Skills is mandatory)

12+ years of experience total with 4-5 in Data Architecture, BI Architecture, or Analytics Architecture.
Strong conceptual architecture ability able to design, diagram, and document enterprise-level solutions.
Hands-on experience with multi-cloud data platforms (Azure, GCP, AWS).
Experience with petabyte-scale datasets and high-volume data processing.
Deep understanding of AI/ML platform components (feature store, pipelines, MLOps, training/inference architecture).
Expertise in cloud data services (BigQuery, Snowflake, Redshift, Synapse, Databricks, etc.).
Strong understanding of data modeling (OLAP/OLTP), warehousing, lakehouse design, and distributed systems.
Proficiency in Kubernetes-based deployments (GKE, AKS, EKS) is a plus.
Excellent documentation skills and ability to work in conceptual and strategic areas, not only operational tasks.

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