Visionaire Partners
Long-term opportunity with a rapidly growing company!
RESPONSIBILITIES: Own end-to-end data architecture for enterprise SaaS platforms, including both OLTP and analytical serving layers Design and operate solutions across Azure SQL DB/MI, Azure Databricks with Delta Lake, ADLS Gen2, Synapse Analytics / Microsoft Fabric Partner with analytics teams on Power BI semantic models, including performance optimization and row-level security (RLS) 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 of experience in data or database engineering 58+ years owning data or database architecture for customer-facing SaaS or analytics platforms at enterprise scale Proven experience operating at multi-terabyte scale (5+ TB) with measurable improvements in performance, reliability, and cost Strong expertise with Azure data technologies Advanced SQL skills, including query optimization, indexing, partitioning, CDC, caching, and schema versioning Experience designing audit-ready, SLA-driven data platforms Strong background in ERP/SAP data integrations, particularly financial data Bachelors 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.
RESPONSIBILITIES: Own end-to-end data architecture for enterprise SaaS platforms, including both OLTP and analytical serving layers Design and operate solutions across Azure SQL DB/MI, Azure Databricks with Delta Lake, ADLS Gen2, Synapse Analytics / Microsoft Fabric Partner with analytics teams on Power BI semantic models, including performance optimization and row-level security (RLS) 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 of experience in data or database engineering 58+ years owning data or database architecture for customer-facing SaaS or analytics platforms at enterprise scale Proven experience operating at multi-terabyte scale (5+ TB) with measurable improvements in performance, reliability, and cost Strong expertise with Azure data technologies Advanced SQL skills, including query optimization, indexing, partitioning, CDC, caching, and schema versioning Experience designing audit-ready, SLA-driven data platforms Strong background in ERP/SAP data integrations, particularly financial data Bachelors 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.