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.

• 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

• 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

Salary Range: $80,000 - $130,000 a year