Database Architect

Position Overview:

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 manager, 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.

If Interested please send your Resume to