Data Solutions Architect

Job Summary We are seeking an experienced Data Solutions Architect to design and implement scalable, secure, and cloud-native data platforms with expertise in data warehousing, lakehouse architectures, and multi-tenant environments. The ideal candidate will define enterprise data architecture, enable advanced analytics and AI/ML, and translate business requirements into robust technical solutions. Key Responsibilities Architecture & Design Design end-to-end cloud data platform architecture across ingestion, storage, transformation, and consumption. Develop scalable Lakehouse, Data Warehouse, and Data Mesh solutions. Establish reference architectures and reusable design patterns. Multi-Tenant Platform Design secure multi-tenant data platforms with tenant isolation and lifecycle management. Implement policy-based access control, encryption, and compliance frameworks. Cloud Data Platform Architect enterprise data warehouse and lakehouse solutions. Design batch and real-time data pipelines. Optimize data models, query performance, and platform scalability. Data Governance & Security Define data governance, cataloging, lineage, and metadata management. Implement enterprise security, identity integration, and regulatory compliance. Integration & Performance Design integrations with APIs, streaming platforms, and enterprise systems. Ensure high availability, scalability, reliability, and cost optimization. Leadership & Innovation Collaborate with business and technology stakeholders to deliver architecture roadmaps. Mentor engineering teams and promote architecture best practices. Drive adoption of AI/ML and GenAI capabilities within the data platform. Required Qualifications / Skills Bachelor's or Master's degree in Computer Science, Engineering, or related field. 10+ years of experience in Data Engineering/Data Architecture. Strong experience in enterprise cloud data platforms, multi-tenant solutions, and modern data architectures. Excellent stakeholder management, leadership, and communication skills. Cloud Platforms: AWS, Azure, or GCP Data Platforms: Snowflake, Databricks, Microsoft Fabric, Synapse, Redshift, BigQuery Technologies: Spark, Kafka, SQL, Python, ETL/ELT, Delta Lake Expertise in Lakehouse, Data Warehouse, Multi-Tenant Architecture, Data Governance, Security, and Cloud Data Engineering #J-18808-Ljbffr Veriipro