Munters · 4 hours ago
Senior Data Architect
Munters builds customer-facing SaaS & analytics products used by global enterprise customers. The Senior Data Architect will own the database/data platform architecture that powers these products, focusing on performance, reliability, and cost efficiency at scale.
EnergyIndustrial EngineeringMechanical Engineering
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
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
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
Qualification
Required
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
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
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
Company
Munters
Munters is a energy efficient air treatment solutions.
H1B Sponsorship
Munters has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (1)
2023 (2)
2022 (1)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$210.63M2025-09-09Post Ipo Debt· $106.58M
2025-06-09Post Ipo Debt· $104.05M
2017-06-02IPO
Recent News
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