Senior Data Architect
On-site · Dunwoody, Georgia, United States
Job Summary
Senior Data Architect role leading end-to-end data architecture for enterprise SaaS and analytics. Own OLTP + analytical serving architecture across technologies (Azure SQL/MI, Databricks/Delta Lake, ADLS, Synapse/Fabric) and contribute to Power BI semantic models. Define ILM strategies (hot/warm/cold tiers, retention, archival), engineer financial interfaces for ERP/SAP with integrity controls, and enforce cross-customer schema evolution while achieving performance gains. Establish data SLOs tied to SLAs, implement observability for data pipelines, and drive MTTR improvements. Lead the DBA/DB engineering function, mentor engineers, and partner with Product/BI to meet reporting needs (e.g., Tyson Matrix) without compromising OLTP performance.
Required Qualifications
- 15+ years in data/database engineering
- 5–8+ years owning data/DB architecture for customer facing SaaS/analytics at enterprise scale
- Expertise in Azure SQL/MI, Databricks/Delta Lake, ADLS, Synapse/Fabric
- deep SQL, partitioning/indexing, query plans, CDC, caching
- Audit & SLA readiness: implemented controls/evidence to satisfy SOC 1 Type 2
- ERP/SAP data interface craftsmanship: idempotent, reconciled, observable financial integrations
- ILM/Archival + BI mirror design for query-able archives/analytics without OLTP impact
- Ability to lead DBA/DB engineering function and mentor data engineers
- Collaborate with Product/Projects/BI to shape domain models for demanding reporting
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.