DATA SOLUTIONS ARCHITECT

Data Solutions ArchitectLocation: Santa Clara, CAFull Time – PermanentExperience Required - 08 - 10 YearsJob 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 & DesignDefine and implement end-to-end data platform architecture across ingestion, storage, transformation, and consumption layersDesign scalable cloud-native data solutions using modern architectures such as Lakehouse and Data MeshEstablish reference architectures and reusable design patternsMulti-Tenant Platform ImplementationArchitect multi-tenant data environments with strong data isolation and segregationImplement policy-based access control and encryption strategiesEnable customer onboarding models, tenant provisioning, and lifecycle managementEnsure compliance with security, audit, and regulatory requirementsCloud Data Platform & Data WarehouseLead design and implementation of data warehouse and lakehouse platformsArchitect real-time and batch data pipelines with high throughput and low latencyOptimize data models, query performance, and data workflowsData Governance, Security & ComplianceDefine data governance frameworks including data cataloging, classification, and lineageImplement secure access control models and identity integrationEnsure adherence to enterprise security and compliance standardsKey Responsibilities:Integration & Ecosystem EnablementDesign scalable integration for APIs, streaming platforms, and enterprise systemsEnable seamless data sharing and collaboration across teams and external partnersPerformance, Scalability & ReliabilityDefine strategies for high-volume data ingestion and low-latency processingOptimize cost, performance, and scalability of data platformsStakeholder Leadership & DeliveryCollaborate with business, engineering, security, and infrastructure teamsTranslate requirements into architecture roadmaps and implementation plansMentor engineering teams and drive best practices