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 Salary Range: $80,000 - $130,000 a year #J-18808-Ljbffr Tata Consultancy Services