Location: Santa Clara, CA (100% Onsite - Local Candidates Preferred)
Experience: 12+ Years
Role Overview
We are seeking a highly experienced Data Solutions Architect to design and deliver next-generation cloud-based data platforms with strong expertise in data warehousing, lakehouse architectures, and multi-tenant systems.
The ideal candidate will lead architecture strategy for scalable, secure, and high-performance platforms enabling advanced analytics, AI/ML, and enterprise data collaboration.
Key Responsibilities
1. Data Architecture & Design
- Design end-to-end cloud data platform architectures (ingestion, storage, transformation, consumption)
- Implement modern architectures such as Lakehouse and Data Mesh
- Define reference architectures, standards, and reusable frameworks
2. Multi-Tenant Platform Architecture
- Design and implement multi-tenant data platforms with proper isolation
- Build tenant onboarding, provisioning, and lifecycle management models
- Implement policy-based access control, encryption strategies, and secure data segregation
- Ensure adherence to compliance, audit, and regulatory requirements
3. Cloud Data Platforms & Data Warehousing
- Architect and deliver data warehouse and lakehouse solutions
- Build real-time and batch data pipelines
- Optimize data models, ETL/ELT workflows, and query performance
4. Data Governance, Security & Compliance
- Implement data governance frameworks including:
- Data cataloging
- Data classification
- Data lineage
- Design secure access control models and identity integration
- Ensure compliance with enterprise security standards
5. Integration & Ecosystem
- Design integrations across:
- APIs
- Streaming platforms
- Enterprise systems
- Enable data sharing and cross-team collaboration
6. Performance & Scalability
- Optimize high-volume data ingestion and low-latency processing
- Improve platform performance, scalability, and cost efficiency
7. Stakeholder Leadership
- Collaborate with business, engineering, and infrastructure teams
- Translate requirements into architecture roadmaps and execution plans
- Mentor teams and drive best practices adoption
8. Innovation & Advanced Analytics
- Enable AI/ML and GenAI capabilities within data platforms
- Drive intelligent automation and advanced analytics solutions
Required Technical Skills
Cloud Platforms
- AWS / Azure / Google Cloud Platform
Data Platforms
- Databricks
- Snowflake
- Redshift
- Azure Synapse
Architecture & Engineering
- Data Warehousing
- Lakehouse Architecture
- Data Mesh
- Multi-Tenant Architecture
Data Engineering
- ETL / ELT Pipelines
- Real-time & Batch Processing
- Distributed Systems
- Data Modeling
Governance & Security
- Data Governance
- Data Lineage & Catalog
- Identity & Access Management (IAM)
- Security & Compliance Frameworks
Preferred Skills
- Experience with GenAI / Agentic AI frameworks
- Domain experience in Semiconductor / Manufacturing / High-Tech
- Exposure to policy-based access control systems
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