Description

 Define the target data architecture, domain ownership model, and transition away from unrestricted shared-

database access.

 Create migration patterns for schema separation, data replication, synchronization, reconciliation, and

cutover.

 Guide transaction-boundary decisions, consistency models, event flows, and failure recovery across services.

 Protect reporting, auditability, historical access, and client integrations during data migration.

 Establish standards for data contracts, lineage, retention, privacy, quality, and controlled access.

 Review high-risk data changes and lead proofs of concept for difficult migration or scale concerns.

 Mentor Engineering Leads and senior engineers in data architecture and distributed data trade-offs.

What You Bring

 12+ years in platform, backend, or data-intensive engineering with senior technical leadership experience.

 Deep relational database architecture and SQL performance expertise; SQL Server experience is strongly

preferred.

 Experience decomposing a shared database or monolithic data model into owned domains incrementally.

 Strong knowledge of transactions, consistency, messaging, change data capture, reconciliation, and data

migration.

 Experience with high-volume processing, operational reporting, audit controls, and production data safety.

 Working knowledge of Java and Spring Boot systems and the operational needs of distributed services.

 Ability to lead through design, code, prototypes, reviews, and written technical decisions.

What Sets You Apart

 You have led a data or platform center of excellence and converted research into production standards.

 You have modernized data architecture while preserving live reporting and client operations.

 You know when a dedicated data pipeline, specialist engineer, or platform investment is justified by sustained

demand

Key Skills

Education

Not specified