DATA SOLUTIONS ARCHITECT
Job Location:
Job Location:
Santa Clara County, CA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
20 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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:
1. Architecture & Design
- Define and implement end-to-end data platform architecture across ingestion storage transformation and consumption layers
- Design scalable cloud-native data solutions using modern architectures such as Lakehouse and Data Mesh
- Establish reference architectures and reusable design patterns
2. Multi-Tenant Platform Implementation
- Architect multi-tenant data environments with strong data isolation and segregation
- Implement policy-based access control and encryption strategies
- Enable customer onboarding models tenant provisioning and lifecycle management
- Ensure compliance with security audit and regulatory requirements
3. Cloud Data Platform & Data Warehouse
- Lead design and implementation of data warehouse and lakehouse platforms
- Architect real-time and batch data pipelines with high throughput and low latency
- Optimize data models query performance and data workflows
4. Data Governance Security & Compliance
- Define data governance frameworks including data cataloging classification and lineage
- Implement secure access control models and identity integration
- Ensure adherence to enterprise security and compliance standards
Key Responsibilities:
5. Integration & Ecosystem Enablement
- Design scalable integration for APIs streaming platforms and enterprise systems
- Enable seamless data sharing and collaboration across teams and external partners
6. Performance Scalability & Reliability
- Define strategies for high-volume data ingestion and low-latency processing
- Optimize cost performance and scalability of data platforms
7. Stakeholder Leadership & Delivery
- Collaborate with business engineering security and infrastructure teams
- Translate requirements into architecture roadmaps and implementation plans
- Mentor engineering teams and drive best practices
8. Innovation & Advanced Analytics
- Drive adoption of AI/ML and GenAI solutions in data platforms
- Enable intelligent automation and advanced analytics capabilities
