Data Platform Architect

Nexaminds is looking for a Data Platform Architect to join a large-scale platform modernization program focused on decomposing a complex enterprise monolith into modern, distributed services. The ideal candidate has hands-on experience modernizing enterprise applications, decomposing large-scale relational databases into domain-oriented architectures, consolidating customer data into scalable multi-tenant platforms, migrating data from Microsoft SQL Server to Azure Cosmos DB, and designing event-driven architectures. This role will lead the definition of data ownership, domain boundaries, SQL-to-NoSQL migration strategies, multi-tenant data architecture, event schema standards, and cross-domain data architecture while partnering closely with architects and engineering teams to enable a seamless transition from a legacy monolithic platform to a cloud-native, microservices-based architecture.

Location: MEXICO

Qualifications we are looking for:

• Data architecture experience, including work on large-scale legacy systems with significant relational complexity.
• Hands-on experience decomposing large monolithic databases into domain-oriented data models, defining clear ownership boundaries, and reducing cross-domain dependencies.
• 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.
• Experience consolidating multiple customer databases into scalable multi-tenant architectures, including tenant isolation, shared data models, and migration strategies.
• Direct experience migrating from relational (Microsoft SQL Server) to document (Azure Cosmos DB) data models at production scale, including partition design and schema evolution.
• Strong event-driven architecture experience, including event schema design, schema versioning, consumer contracts, and evolution strategy at scale.
• Solid understanding of CDC (Change Data Capture) 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.
• Familiarity with Azure Service Bus, Azure Container Apps, or Terraform.

Nice to have:

• HCM, payroll, benefits, or tax domain experience.
• Background working in a formal modernization or re-platforming program.

Job duties:

• Analyze the monolith database to identify domain boundaries, shared data, and extraction sequencing — the foundational work decomposition teams depend on before they can move.
• Define strategies for decomposing monolithic relational databases into domain-aligned data models while minimizing cross-domain dependencies. 
• Design scalable multi-tenant data architectures and define strategies for consolidating customer-specific databases into shared cloud-native platforms.
• Define SQL Server → Cosmos DB migration patterns and standards that each domain team executes against, including partition strategy, document modeling guidance, consistency level decisions, and indexing.
• Design the data ownership and access model for cross-domain entities (employee record, org structure, etc.) before teams make independent decisions that conflict.
• Define canonical event schemas for domain extraction and own the evolution and governance strategy across all five workstreams.
• Maintain reporting continuity throughout extraction — serving as the bridge between what decomposition teams emit via Debezium/CDC and what downstream data consumers expect.
• Partner with the data lake architect to align on CDC output contracts and event schema standards.
• Identify data-level risks in the extraction sequence early, before they become production incidents.
• Contribute to decomposition planning sessions with data-grounded input on sequencing, dependencies, and shared concerns