Top 55 Data warehousing architects Jobs in San Francisco, Ca

CMPTL & DATA SCI RSH SPEC 4 RP
University of California San Francisco —San Francisco, CA
- Full-time
- Computer Science
- 5 years
- System design
Staff Enterprise Data Architect
Ōura —San Francisco, CA
- $169,150 - $233,000 a year
- Remote
- Organizational skills
- Senior level
- Leadership
- Paid holidays
- Health insurance
Radiology Data Architect
University of California San Francisco —San Francisco, CA
- Full-time
- Computer science
- Computer Science
- 5 years
Distinguished Engineer, Data Platform
CloudZero —San Francisco, CA
- $275,000 - $330,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- SQL
Senior Delivery Consultant - Data , Professional Services, AWSI HCLS
Amazon Web Services, Inc. —San Francisco, CA
- $153,600 - $207,800 a year
- Full-time
- 5 years
- System design
- HIPAA
- AD&D insurance
- Health insurance
AWS Technical Architect
TeQbeat —San Francisco Bay Area, CA
- SQL
- Senior level
- Python
Oracle ERP Data Expert
Fanisko —San Francisco Bay Area, CA
- Contract
- Azure
- Computer Science
- Finance
7d
Lead BI Developer
CareDx, Inc. —San Francisco, CA
- $112,000 - $140,000 a year
- Full-time
- Remote
- 6 years
- High school diploma or GED
- SQL
- Commuter assistance
- Employee stock purchase plan
Data Engineer, Analytics (Technical Leadership)
Meta —Menlo Park, CA
- $210,000 - $281,000 a year
- Computer science
- Computer Science
- Bachelor of Science
MarTech Data Architect
Accenture —San Francisco, CA
- $122,700 - $302,400 a year
- Full-time
- Remote
- Azure
- 8 years
- AWS
- Paid holidays
- Disability insurance
9d
Principal Data Architect
Delta Dental —Oakland, CA
- Full-time
- Hybrid work
- Background check
- US work authorization
- Fair chance
- Paid holidays
- Health insurance
Data Lake/Analytics Sr. SA, Data Lake and Analytics
Amazon Web Services, Inc. —San Francisco, CA
- $153,600 - $239,000 a year
- Full-time
- 3 years
- Fair chance
- Senior level
- AD&D insurance
- Health insurance
Architect, Data Platform — AgentExchange
Salesforce —San Francisco, CA
- $218,400 - $401,400 a year
- Full-time
- Office
- Mentoring
- Fair chance
- Paid parental leave
- Disability insurance
Software Engineering PMTS - Data Platform
Salesforce —San Francisco, CA
- $197,300 - $344,700 a year
- Full-time
- Office
- Mentoring
- Fair chance
- Paid parental leave
- Disability insurance
Technical Lead
Monaco —San Francisco, CA
- $200,000 - $400,000 a year
- Full-time
- Office
- SQL
- Analysis skills
Quick Apply
Staff Analytics Engineer
Cribl —San Francisco, CA
- $170,000 - $215,000 a year
- Remote
- 3 years
- SQL
- Mentoring
Quick Apply
Technical Lead Manager, Data Engineering, Trust & Safety
OpenAI —San Francisco, CA
- $385,000 - $490,000 a year
- Full-time
- 11+ years
- Office
- Fair chance
- Relocation assistance
Senior Data Architect
Oura —San Francisco, CA
- $172,550 - $203,000 a year
- Hybrid work
- Computer science
- Azure
- Computer Science
- Paid holidays
- Health insurance
Senior Staff Data Engineer - Platform Data and Analytics
Faire —San Francisco, CA
- $276,000 - $379,500 a year
- Remote
- Computer science
- Computer Science
- System design
Principal Software Engineer, Data Infrastructure
roblox —San Mateo, CA
- $295,250 - $345,040 a year
- Full-time
- Computer Science
- Bachelor of Science
- Office

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CMPTL & DATA SCI RSH SPEC 4 RP

University of California San Francisco -
San Francisco, CA

Apply Now

Job Details

Full-time

Qualifications

System design
Infrastructure architecture design
Event-driven architecture
Data Architecture Design (Architecture design skills)
Production systems
Distributed systems
Developing big data ETL processes
Distributed computing
Real-time data processing implementation
Design (software development lifecycle)

Full Job Description

Involves a hybrid of multiple computational / data / Cyberinfrastrcture (CI) dominated fields such as, but not limited to, bioinformatics, geological information services (GIS), data analytics, and computational chemistry. Applies computational, computer science, data science and cyber infrastructure (CI) research and development principles, with relevant domain science knowledge, to perform research and technology integration and development. Responsibilities include research, design, development, analysis, operation, and support of high performance computing (HPC) and data science research, software, tools and hardware resources. Develops data algorithms and performs computations, statistical analyses, interpretation and reporting of research. This specialty / function exists for those positions whose primary responsibility is to do research and use computational and data science technology as a tool to accomplish the research.

The Preclinical Design and Clinical Translation of Regimens for Tuberculosis (PReDiCTR-TB) Consortium is a 21st-century, model-informed drug development (MIDD) platform integrating computational science, translational pharmacology, and global clinical insight to accelerate the design and delivery of transformative TB regimens.

Positioned at the intersection of data, biology, engineering, econometrics, and decision science, PReDiCTR-TB functions as a strategic intelligence engine for regimen development, linking preclinical evidence, synthetic experiments, mechanistic models, and clinical data into a unified predictive framework. By embedding quantitative systems pharmacology (QSP), AI-driven analytics, and probabilistic decision modeling throughout development, the consortium enables real-time prioritization of regimens with the highest probability of clinical success.

Rather than advancing compounds in isolation, PReDiCTR-TB takes a regimen-first, translation-driven approach that optimizes combinations, dosing strategies, and treatment durations through iterative simulation-validation cycles grounded in human-relevant biology. This framework helps reduce reliance on costly empirical experimentation while increasing translational fidelity from bench to bedside.

The consortium delivers:

Predictive insights that de-risk development earlier
Optimized trial designs informed by mechanistic and statistical rigor
Faster and more confident go/no-go decisions across the R&D lifecycle

PReDiCTR-TB is redefining how infectious disease regimens are designed, prioritized, and translated into clinical impact.

Custom Scope

Model-informed drug development (MIDD) and AI in Clinical Trials market is experiencing a massive shift, projected to skyrocket from $1.35 billion to $2.74 billion by 2030. Data and model-driven efficiencies in patient selection, drug repurposing, and real-time trial monitoring are fundamentally compressing drug development timelines.

At the UCSF Savic Lab, we aren't just reacting to this shift—we are driving it. We are moving past traditional, isolated data storage models to establish a modern, highly interconnected, and secure data & model infrastructure.

We are seeking a solution-minded, highly technical, and mission-driven Distributed Data Pipeline Architect. In this role, you will design, build, lead implementation, and operate a research-grade, scale-distributed data architecture. This framework will serve as the foundation for advanced analytics, multi-institution translational science, and 21st-century accelerated drug development decision support.

Department Overview

The Savic Lab is a global leader in model-informed drug development for infectious diseases and serves as a quantitative innovation hub for translational pharmacology, AI-enabled modeling, and next-generation regimen design. The laboratory conducts groundbreaking research across TB, HIV, malaria, pediatric infectious diseases, translational PK/PD, and systems pharmacology. Through its leadership role in PReDiCTR-TB, the lab collaborates with international partners to integrate computational science, mechanistic modeling, and clinical translation into actionable strategies that improve global health outcomes.

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion.

Required Qualifications

Experience: 5+ years of hands-on experience in data engineering, distributed systems, or enterprise platform architecture.
Systems Design: A proven track record of architecting, deploying, and maintaining production-grade distributed data architectures.
Data Processing: Direct experience handling large-scale data ingestion, multi-tenant databases, and event-driven data flows.
Communication: Exceptional communication and presentation skills, with a demonstrated ability to explain complex technical concepts to non-technical executive stakeholders.

Preferred Qualifications

Architectures: Data mesh environments, data fabric layers, and semantic web modeling.
Streaming & Compute: Apache Kafka, Pulsar, AWS Kinesis, Apache Spark, Flink, or Apache Beam.
Storage & Databases: Distributed object storage (S3-compatible API environments) and NoSQL systems (Cassandra, DynamoDB, MongoDB).
Clinical Data Standards: Familiarity with NIH-preferred schemas and ontologies (e.g., BIDS for imaging, OMOP common data models, LOINC, SNOMED CT, or FHIR transfer protocols).
Governance & Security: Data cataloging, automated data lineage tools, and strict data access control frameworks (HIPAA / NIST compliance).
Master's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization preferred.

Apply Now

Refine Your Search

data warehousing architects jobs in san francisco, ca

CMPTL & DATA SCI RSH SPEC 4 RP

Staff Enterprise Data Architect

Radiology Data Architect

Distinguished Engineer, Data Platform

Senior Delivery Consultant - Data , Professional Services, AWSI HCLS

AWS Technical Architect

Oracle ERP Data Expert

Lead BI Developer

Data Engineer, Analytics (Technical Leadership)

MarTech Data Architect

Principal Data Architect

Data Lake/Analytics Sr. SA, Data Lake and Analytics

Architect, Data Platform — AgentExchange

Software Engineering PMTS - Data Platform

Technical Lead

Staff Analytics Engineer

Technical Lead Manager, Data Engineering, Trust & Safety

Senior Data Architect

Senior Staff Data Engineer - Platform Data and Analytics

Principal Software Engineer, Data Infrastructure

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