Visionaire Partners
Senior Technical Recruiter at Visionaire Partners
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 fully 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).
Audit & SLA readiness: implemented controls/evidence to satisfy SOC 1 Type 2 (or equivalent) and run environments to SLOs linked to SLAs.
ILM/Archival + BI mirror design for queryable archives/analytics without OLTP impact.
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.
Seniority level Mid-Senior level
Employment type Full-time
Job function Analyst and Information Technology
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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 fully 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).
Audit & SLA readiness: implemented controls/evidence to satisfy SOC 1 Type 2 (or equivalent) and run environments to SLOs linked to SLAs.
ILM/Archival + BI mirror design for queryable archives/analytics without OLTP impact.
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.
Seniority level Mid-Senior level
Employment type Full-time
Job function Analyst and Information Technology
#J-18808-Ljbffr