Overview
Organizations running HR, equity administration, applicant tracking, and payroll across five or more disconnected systems typically have no single, governed view of their own people data. Field definitions drift between systems, access controls are inconsistent, and any cross-system report requires manual reconciliation.
Smith Avenue Insights builds a governed data lakehouse on Amazon Redshift, Amazon RDS, and Amazon S3, with canonical field mapping across your HR, equity, applicant tracking, and payroll systems. Role-based access control and field-level data masking are enforced consistently across every view, so what a user can see is governed by the same rules everywhere. The platform includes RDS Proxy connection pooling for peak concurrent load, AWS Lake Formation field-level governance, and full audit logging through AWS CloudTrail and Amazon GuardDuty.
This is delivered as production infrastructure from day one, built to support an organization-wide rollout rather than a single-team pilot.
SAI is an AWS Select Tier Services Partner specializing in data engineering, custom software, and AWS-native application development.
Highlights
- Governed by design: field-level masking and role-based access control enforced across every view, so what a user can see is governed by the same rules everywhere, not just in the UI.
- Built for messy, multi-source HR data: canonical field mapping across HCM, equity, applicant tracking, and payroll systems that were never designed to agree with each other.
- Production-ready infrastructure: Redshift, RDS, and S3 with connection pooling, audit logging, and security hardening included, not added after launch.
Details
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Support for this engagement is provided directly by the Smith Avenue Insights delivery team. Reach us at dylan@smithaveinsights.com or schedule time directly at https://smithaveinsights.com/demo . See https://smithaveinsights.com/how-we-work for an overview of our delivery process before you book. Active engagements include direct access to the delivery team for implementation, configuration, and rollout coordination, with post-launch support and enhancement engagements available on request.