Job
Description
As a Data Architect, you will lead the evolution of our data platform, defining and implementing a scalable, cloud-based data architecture to support our rapid growth and AI-assisted transformation. You will play a key role in migrating to a to-be architecture, ensuring seamless data integration, performance optimization, and security across relational and non-relational databases. You will collaborate closely with engineering, product, data managers, and business teams to design and implement data solutions that support our SaaS platform, AI-driven automation initiatives, analytics, and operational excellence. As part of an Agile/Scrum environment, you will ensure our data infrastructure aligns with modern cloud-native best practices and enables rapid innovation. Key Responsibilities: Data Architecture & Strategy Design and implement a scalable, high-performance data architecture for a cloud-based SaaS platform. Develop a roadmap for modernizing the data ecosystem, supporting AI-assisted coding and test automation. Define and enforce data governance standards, ensuring data integrity, security, and compliance with best practices. Lead the migration and transformation from existing architectures to a future-state model, optimizing for growth, resilience, and AI capabilities. Re-architect complex database structures, including various data models, relationships, and schema, to optimize performance and scalability. Design and implement backup, recovery, purging, and archival strategies to protect against data loss while maintaining system efficiency. Database & Data Engineering Architect relational (SQL Server 2019, T-SQL) and non-relational (NoSQL) databases to support application and analytics needs. Optimize database performance, indexing strategies, and query execution for scalable SaaS applications. Develop data pipelines (ETL, APIs) for seamless integration across applications, third-party services, and AI tools and models. Cloud & Integration Design cloud-native data solutions leveraging Azure. Define best practices for data integration, API-based connectivity (ServiceStack, WCF), and microservices architectures. Ensure scalability, availability, and disaster recovery strategies are in place for all data solutions. Security & Compliance Establish data security best practices, including encryption, access control, and compliance (SOC 2, HIPAA, ISO27001). Lead efforts to improve data privacy and implement role-based access control (RBAC) and identity management. Collaboration & Leadership Partner with engineering teams to guide data-driven application development, particularly in .NET (C#), JavaScript (React, Redux), and SQL environments. Collaborate with AI/ML teams to support AI-driven automation, data modeling, and predictive analytics initiatives. Mentor data engineers and developers in best practices for data modeling, performance tuning, and cloud-based architectures. Work in an Agile/Scrum environment, participating in sprint planning, backlog refinement, and cross-functional collaboration. Requirements & Qualifications: 7+ years of experience in data architecture, database design, and cloud-based data solutions. Strong knowledge of SQL Server 2019 (T-SQL), and NoSQL databases. Experience with ETL, data integration, and API-based data exchanges. Expertise in cloud platforms (Azure, AWS, or GCP) for data infrastructure. Strong proficiency in data modeling tools and techniques. Experience designing and implementing secure, compliant data solutions. Prior experience in Agile/Scrum environments with a strong understanding of iterative development.
