Data Architect, Platform Modernization

isolved • ,

2d • Onsite

About The Position

The Data Architect, Platform Modernization role owns the data strategy within the modernization effort, working hands-on with engineering leadership and domain teams to define data boundaries, design SQL-to-Cosmos migration patterns, establish scalable event schemas, and ensure uninterrupted reporting throughout extraction. Embedded in the program from day one, this position focuses on solving cross-domain data challenges in real time, partnering closely with engineers to model, validate, and implement solutions critical to a successful transition.

Requirements

• 10+ years of data architecture experience, including work on large-scale legacy systems with significant relational complexity
• Hands-on experience untangling shared or cross-domain data models - you've done the work of figuring out what belongs where and what the consequences of getting it wrong are
• Direct experience migrating from relational (SQL Server) to document (Cosmos DB) data models at production scale, including partition design and schema evolution
• Strong event schema design experience: schema versioning, consumer contracts, and evolution strategy at scale
• Solid understanding of CDC patterns and tooling (Debezium or equivalent) in the context of live system migration
• Ability to set architecture standards that distributed teams implement independently, rather than owning a single centralized system
• Fluency working with application architects and engineers - this role sits at the intersection of data and system design

Nice To Haves

• HCM, payroll, benefits, or tax domain experience
• Familiarity with Azure Service Bus, Azure Container Apps, or Terraform
• Background working in a formal modernization or re-platforming program

Responsibilities

• Designing and implementing scalability and performance improvements that enable isolved to reliably serve large enterprise clients
• Identifying systemic platform bottlenecks through profiling, load testing, and production telemetry analysis, and developing strategies to resolve them
• Establishing performance budgets, benchmarks, and monitoring standards that prevent regression as the platform evolves
• Implementing patterns for multi-tenant scalability, data partitioning, and resource management, and sharing that knowledge with the broader team through code reviews and hands-on collaboration
• Performing code reviews with a focus on performance implications, query efficiency, and resource utilization
• Collaborating with product management and customer-facing teams to understand large-client pain points and translate them into technical improvement plans
• Driving adoption of caching, indexing, and query optimization strategies across the platform's data tier
• Raising the bar on performance engineering practices, load testing methodologies, and production observability across the team through hands-on collaboration and code reviews
• Using AI-assisted development tools - including agentic coding, spec-driven development, and AI-augmented code review - as a core part of your daily workflow to maximize velocity and code quality, and helping establish AI-augmented development practices across the team

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed