DATA SOLUTIONS ARCHITECT

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

Salary Range: $80,000 - $130000 a year


#LI-CM2