Data Modelling Logical and Physical data models (Table and attribute definition Constraints ; FKs, PKs, Indexes , partitioning)
Data Flows / Systems of Record tracking (defactor / Actual SOR).
Reconciliation Queries/Reports
Data Traceability (especially where data is from disparate sources and requires linking)
Data Security - Foundational Architecture to support data security (encryption in-transit and at rest) ; Ownership of Keys.
Integration patterns to support Data Integrity
Auditability of Data according to Company policies and Legal Requirements.
Data Retention according to Company policies and Legal Requirements.
Error handling patterns (error hospital, quarantine, replay/reprocess workflows)