Sr. Data Architect

• Location: Atlanta, Georgia
• Type: Direct Hire
• Job #22382

Sr. Data Architect

Long-term opportunity with a rapidly growing company!

RESPONSIBILITIES:

• Own the end-to-end data architecture for enterprise SaaS (OLTP + analytical serving), including Azure SQL/MI, Databricks/Delta Lake, ADLS, Synapse/Fabric, and collaboration on Power BI semantic models (RLS, performance).
• Define and implement Information Lifecycle Management (ILM): hot/warm/cold tiers, 2-year OLTP retention, archive/nearline, and a BI mirror that enables rich analytics without impacting production workloads.
• Engineer ERP/SAP financial interfaces for idempotency, reconciliation, and traceability; design rollback/de-dup strategies and financial journal integrity controls.
• Govern schema evolution/DbVersions to prevent cross-customer regressions while achieving performance gains
• Establish data SLOs (freshness, latency, correctness) mapped to customer SLAs; instrument monitoring/alerting and drive continuous improvement.

This is a direct-hire opportunity in Atlanta. Work onsite the first 5-6 months, then transition to a hybrid schedule of 3 days in the office with 2 days remote (flex days). 

REQUIRED SKILLS:

• 10+ years in data/database engineering
• 5–8+ years owning data/DB architecture for customer-facing SaaS/analytics at enterprise scale.
• Proven results at multi-terabyte scale (>5 TB) with measurable improvements (P1 reduction, MTTR, query latency, cost/performance).
• Expertise in Azure SQL/MI, Databricks/Delta Lake, ADLS, Synapse/Fabric; deep SQL, partitioning/indexing, query plans, CDC, caching, schema versioning.
• Audit & SLA readiness: implemented controls/evidence to satisfy SOC 1 Type 2 (or equivalent) and run environments to SLOs linked to SLAs.
• ERP/SAP data interface craftsmanship: idempotent, reconciled, observable financial integrations.
• ILM/Archival + BI mirror design for queryable archives/analytics without OLTP impact.
• Bachelor's degree

PREFERRED SKILLS:

• Power BI performance modeling (RLS, composite models, incremental refresh, DAX optimization).
• Modular monolith/microservices experience
• Semantic tech (ontology/knowledge graphs), vector stores, and agentic AI orchestration experience

Must be authorized to work in the US. Sponsorships are not available.