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Senior Data Architect

Hybrid in San Francisco, CA, US • Posted 1 day ago • Updated 1 day ago

Contract Independent

Contract W2

12 Months

Hybrid

$80 - $90/hr

Fitment

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Job Details

Skills

Snowflake
Matillion
Microsoft Fabric
Power BI
Tableau
ata warehouses
data lakes
lakehouse architectures
data integration
analytics platforms
Azure cloud
ETL/ELT
APIs
microservices
data governance
AI/ML
Generative AI

Summary

<>Senior Data Architect

Job Summary

We are seeking a Senior Data Architect to design scalable, secure, and modern cloud-native data solutions. This role will partner with business and IT leadership to translate business needs into enterprise data architectures and technology roadmaps.

Key Responsibilities

Design and architect end-to-end data platforms, including ingestion, ETL/ELT, storage, integration, analytics, and data consumption.
Define scalable cloud, lakehouse, data warehouse, and data lake architectures.
Establish standards for data integration, interoperability, governance, security, and data sharing.
Design data solutions supporting AI/ML, Generative AI, MCP, and advanced analytics.
Evaluate and recommend data technologies and platforms.
Provide architecture governance, design reviews, POCs, and technology assessments.
Partner with Enterprise Architecture, Data Engineering, Infrastructure, Application Development, vendors, and business teams.
Identify architectural risks, dependencies, and trade-offs.
Mentor architects and engineers and promote data architecture best practices.

Required Qualifications

10+ years of modern cloud data architecture experience.
Bachelor's degree in Computer Science or related field.
Strong experience with Snowflake, Matillion, Microsoft Fabric, Power BI, and Tableau.
Proven experience with data warehouses, data lakes, lakehouse architectures, data integration, and analytics platforms.
Strong Azure/cloud-native architecture experience; hybrid or multi-cloud experience is a plus.
Knowledge of ETL/ELT, APIs, microservices, data governance, security, privacy, quality, and compliance.
Experience translating business requirements into scalable data solutions.
Strong stakeholder management and communication skills.
Experience architecting data platforms for AI/ML and Generative AI use cases.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10439527
Position Id: 9089385
Posted 1 day ago

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