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MTech Systems · 1 day ago

Senior Data Architect

Dunwoody, GA

Full-time

Onsite

Senior Level, Lead/Staff

15+ years exp

MTech Systems is a prominent provider of tools for managing performance in Live Animal Protein Production, focused on increasing yield in protein production through innovative software solutions. The Senior Data Architect will own the database/data platform architecture for their SaaS and analytics products, ensuring performance and reliability while leading a team of data engineers.

Software

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

Data architectureAzure SQL/MIDatabricks/Delta LakeERP/SAP integrationInformation Lifecycle ManagementPower BI modelingLeadershipCollaborationProblem-solving

Required

15+ 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

Preferred

Power BI performance modeling (RLS, composite models, incremental refresh, DAX optimization)

Modular monolith/microservices experience (plus, not required)

Semantic tech (ontology/knowledge graphs), vector stores, and agentic AI orchestration experience (advantage, not required)

Company

MTech Systems

MTech Systems is a company specialized in software systems for poultry and swine production.

Founded in 1996

Atlanta, Georgia, USA

51-200 employees

https://mtechsystems.io

Funding

Current Stage

Growth Stage

Total Funding

unknown

2017-02-14Acquired

Leadership Team

Marcel Cohen

President

Company data provided by crunchbase