Data Solutions Architect – Cloud Data Platform & Multi-Tenancy

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 / GCP

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