DATA SOLUTIONS ARCHITECT

K&K Global Talent Solutions Inc. is an international recruiting agency that has been providing technical resources in the Canada and the USA region since 1993.

This position is with one of our clients in USA, who is actively hiring candidates to expand their teams.

 

Job Title: DATA SOLUTIONS ARCHITECT

Location: Santa Clara, CA /Onsite

Position type: Full time/Permanent role

Job Description

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

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