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