Source description
About the role
We are seeking a highly experienced Data Solutions Architect to design and deliver next-generation cloud-based data platforms with a strong focus on data warehousing, lakehouse architectures, and multi-tenant enablement.
This role will drive architecture strategy and execution for scalable, secure, and high-performance data solutions, enabling advanced analytics, AI/ML, and cross-organization collaboration.
The ideal candidate will bring hands-on experience in cloud data platforms, enterprise data architecture, and multi-tenant system design, along with the ability to translate business requirements into robust technical solutions
Must Have Technical/Functional Skills:
- Architecture & Design
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Define and implement end-to-end data platform architecture across ingestion, storage, transformation, and consumption layers
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Design scalable cloud-native data solutions using modern architectures such as Lakehouse and Data Mesh
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Establish reference architectures and reusable design patterns
- Multi-Tenant Platform Implementation
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Architect multi-tenant data environments with strong data isolation and segregation
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Implement policy-based access control and encryption strategies
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Enable customer onboarding models, tenant provisioning, and lifecycle management
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Ensure compliance with security, audit, and regulatory requirements
- Cloud Data Platform & Data Warehouse
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Lead design and implementation of data warehouse and lakehouse platforms
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Architect real-time and batch data pipelines with high throughput and low latency
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Optimize data models, query performance, and data workflows
- Data Governance, Security & Compliance
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Define data governance frameworks including data cataloging, classification, and lineage
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Implement secure access control models and identity integration
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Ensure adherence to enterprise security and compliance standards
Key Responsibilities:
- Integration & Ecosystem Enablement
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Design scalable integration for APIs, streaming platforms, and enterprise systems
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Enable seamless data sharing and collaboration across teams and external partners
- Performance, Scalability & Reliability
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Define strategies for high-volume data ingestion and low-latency processing
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Optimize cost, performance, and scalability of data platforms
- Stakeholder Leadership & Delivery
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Collaborate with business, engineering, security, and infrastructure teams
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Translate requirements into architecture roadmaps and implementation plans
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Mentor engineering teams and drive best practices
- Innovation & Advanced Analytics
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Drive adoption of AI/ML and GenAI solutions in data platforms
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Enable intelligent automation and advanced analytics capabilities
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Salary Range: $80,000 - $130000 a year
#LI-CM2
</divRole: Solution Architect
Desired skills: Data Migration | Data Integration
Experience: 8 - 10 Years
Job function: TECHNOLOGY
Location: Santa Clara, CA
Salary range: $80,000–$130,000
Apply by: 2026-08-15 00:00:00
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