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Database Platform Engineer

BraunAbility Americas
Winamac, IN

Job Details

Full-time
14 days ago

Qualifications

Defect resolution root cause analysis
Query plan analysis
Defect analysis
Database backup and recovery
Data retrieval time improvement
SQL
Database server management
Data backup
Problem management
Technical troubleshooting support
System tuning
Data analytics technologies
Failure analysis
Production troubleshooting

Full Job Description

Job Description:

Position Purpose and Operational Expectations

Own database performance, health, and reliability in the current ERP environment.

Remediate and right‑size existing SQL Server instances, including log file configuration, maintenance plans, and tech‑debt databases (e.g., legacy DBs such as “DB1”).

Design and support the transition of on‑prem databases to Azure (e.g., Azure SQL / Managed Instance) as an interim step toward full SaaS adoption.

Support the broader transition from on‑prem Epicor to Epicor Kinetic SaaS, including data access, integrations, and reporting impacts.

Evolve into ownership of enterprise data platforms and integrations (Azure, Snowflake, analytics, and data flows between systems).

Ensure data accuracy, availability, and consistency across operational and analytical systems.

Partner with IT and business teams to improve data flows, reduce risk, and retire legacy technical debt over time.

Core Responsibilities

On‑Prem Database Health & Optimization

Optimize SQL Server performance including query tuning, indexing, execution plans, and deadlock resolution.

Stabilize large databases (e.g., multi‑terabyte), including:

Correct log file configuration and growth.

Appropriate recovery models, backup/restore strategies, and space management.

Implementation or improvement of index and statistics maintenance and DBCC checks.

Identify and remediate technical debt in the database of estate (e.g., legacy databases like DB1), including cleanup of unused objects, obsolete data, and inconsistent configurations.

Cloud / Azure & Migration

Assist in designing migration paths from on‑prem SQL Server to Azure (Azure SQL Database, Azure SQL Managed Instance, or other appropriate services).

Support planning and execution of database migrations, including sizing, performance planning, and cutover strategies in coordination with Infrastructure and Application teams.

Contribute to standards and best practices for SQL workloads in Azure (configuration of baselines, monitoring, security, and cost optimization).

Data Platform & Integrations

Support and troubleshoot data pipelines into Snowflake and Power BI, recognizing Snowflake as the replicated analytics layer rather than the initial system of record.

Investigate and resolve integration data issues across APIs and middleware platforms (e.g., Boomi, MuleSoft).

Assist in designing scalable and resilient data flows across ERP, CRM, CPQ, manufacturing, and other business systems.

Ensure data accuracy, reliability, and consistency across transactional and analytical platforms.

Operations, Troubleshooting & Documentation

Perform root cause analysis for data and performance issues, implementing durable fixes rather than workarounds.

Maintain system and data documentation, including database configurations, maintenance plans, integrations, and dependencies.

Collaborate with ERP, development, infrastructure, and business teams to support system performance, data access, and reporting needs.

Scope of Responsibility

Owns database performance, health, and data reliability across key enterprise systems.

Bridges ERP systems, on‑prem databases, Azure data services, and integration layers.

Supports the transition from a database‑centric model to a cloud/data‑platform architecture in alignment with enterprise IT strategy.

Technology Environment

Microsoft SQL Server (on‑prem, large databases)

Epicor ERP (on‑prem and SaaS / Kinetic)

Microsoft Azure (e.g., Azure SQL, Azure SQL Managed Instance, related services)

Snowflake (analytics / replicated data layer)

Power BI and analytics tools

Integration platforms (Boomi, MuleSoft)

Multi‑site manufacturing systems and related data flows

Plant / Site Expectations

Support systems critical to manufacturing operations

Understand impact of data issues on production and planning

Ensure reliability of shared systems and reporting pipelines

Required Skills and Qualifications

5+ years experience in database engineering, DBA roles, or closely related positions.

Strong SQL skills including performance tuning, query optimization, indexing, and troubleshooting.

Experience with SQL Server in enterprise environments, including large or complex databases.

Demonstrated experience diagnosing and fixing database health issues (log growth, backups, maintenance, space, etc.).

Strong troubleshooting and analytical skills with focus on root cause and prevention.

Ability to communicate clearly with both technical and business stakeholders.

Preferred Qualifications

Epicor ERP experience (on‑prem and/or Kinetic).

Experience with ETL/ELT and data pipelines feeding analytics platforms.

Experience with Azure data platforms (e.g., Azure SQL Database, Azure SQL Managed Instance) and/or Snowflake.

Experience in a manufacturing data environment (ERP, MRP, shop‑floor/OT integrations).

Relevant certifications (e.g., Microsoft, Azure, SQL Server, Epicor, or data platform certifications).

Key Performance Indicators

Database performance and response time

Reduction in production data issues

Data pipeline reliability

Data accuracy across systems

Support of ERP transformation initiatives

Physical Requirements

Office or hybrid work environment

Extended computer use

Occasional after-hours support

BraunAbility is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.