Data Solutions Architect

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:

• 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
• 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
• 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
• 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:
• Integration & Ecosystem Enablement
• Design scalable integration for APIs, streaming platforms, and enterprise systems
• Enable seamless data sharing and collaboration across teams and external partners
• Performance, Scalability & Reliability
• Define strategies for high-volume data ingestion and low-latency processing
• Optimize cost, performance, and scalability of data platforms
• 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
• Innovation & Advanced Analytics
• Drive adoption of AI/ML and GenAI solutions in data platforms
• Enable intelligent automation and advanced analytics capabilities & nbsp; Salary Range: $80,000 - $130000 a year #LI-CM2 </div