Job Description
Job Summary
MTech builds customer-facing SaaS & analytics products used by global enterprise customers. You will own the database/data platform architecture that powers these productsdriving performance reliability auditability and cost efficiency at multi-tenant multi-terabyte scale. Success is measured in hard outcomes: fewer P1s/support tickets faster queries bullet-proof ERP/SAP integrations SLO compliance tied to SLAs and audit ready evidence.
Responsibilities and Duties
Architecture & Design
- 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.
Operations & Observability
- Build observability for pipelines and interfaces (logs/metrics/traces lineage data quality gates) and correlate application telemetry (e.g. Stackify/Retrace) with DB performance for rapid rootcause analysis.
- Create incident playbooks (reprocess reconcile rollback) and drive MTTR down across data incidents.
Collaboration & Leadership
- Lead the DBA/DB engineering function (standards reviews capacity planning HA/DR on-call performance/availability SLOs) and mentor data engineers.
- Partner with Product/Projects/BI to shape domain models that meet demanding customer reporting (e.g. Tyson Matrix) and planning needs without compromising OLTP.
Startdate: ASAP.
Compensation: Negotiable.
Required Experience:
Senior IC
AtlantaHybridJob DescriptionJob SummaryMTech builds customer-facing SaaS & analytics products used by global enterprise customers. You will own the database/data platform architecture that powers these productsdriving performance reliability auditability and cost efficiency at multi-tenant multi-ter...
Job Description
Job Summary
MTech builds customer-facing SaaS & analytics products used by global enterprise customers. You will own the database/data platform architecture that powers these productsdriving performance reliability auditability and cost efficiency at multi-tenant multi-terabyte scale. Success is measured in hard outcomes: fewer P1s/support tickets faster queries bullet-proof ERP/SAP integrations SLO compliance tied to SLAs and audit ready evidence.
Responsibilities and Duties
Architecture & Design
- 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.
Operations & Observability
- Build observability for pipelines and interfaces (logs/metrics/traces lineage data quality gates) and correlate application telemetry (e.g. Stackify/Retrace) with DB performance for rapid rootcause analysis.
- Create incident playbooks (reprocess reconcile rollback) and drive MTTR down across data incidents.
Collaboration & Leadership
- Lead the DBA/DB engineering function (standards reviews capacity planning HA/DR on-call performance/availability SLOs) and mentor data engineers.
- Partner with Product/Projects/BI to shape domain models that meet demanding customer reporting (e.g. Tyson Matrix) and planning needs without compromising OLTP.
Startdate: ASAP.
Compensation: Negotiable.
Required Experience:
Senior IC
View more
View less