Senior ERP Data Engineer

Armanino

Senior ERP Data Engineer responsible for designing, building, and maintaining ERP data pipelines. Collaborating with stakeholders and ensuring pipeline efficiency at Armanino.

Posted 6/3/2026full-timeNew York City • Illinois, New York, Pennsylvania, Texas, Utah • 🇺🇸 United StatesSenior💰 $162,500 - $221,400 per yearWebsite

Tech Stack

Tools & technologies

ERPETLPythonSDLCSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable ERP data pipelines for platforms such as Workday and enterprise systems
Own end‑to‑end lifecycle of ERP data pipelines (ingestion → transformation → delivery)
Support data conversion and migration initiatives (e.g., M&A, system integrations)
Ensure pipeline reliability, recoverability, and stable production operations
Troubleshoot pipeline failures and resolve root causes of data defects and operational issues
Partner with business analysts and stakeholders to translate requirements into data solutions
Implement and enforce SDLC best practices (version control, code reviews, CI/CD, release management)
Develop and maintain data quality controls (freshness, completeness, anomaly detection, schema management)
Detect and manage schema drift and downstream data issues proactively
Build and maintain monitoring, alerting, and observability for data pipelines
Optimize performance, scalability, and cost of data workloads
Track operational KPIs (e.g., pipeline success rates, SLAs, incident trends, recovery times)
Create runbooks, documentation, and audit‑ready operational processes
Collaborate with data governance, security, and compliance teams on controls and data access
Support analytics, reporting, and integration teams with reliable, well‑governed datasets
Communicate effectively with technical and non‑technical stakeholders and escalate risks early

Requirements

What you’ll need

Minimum of 7 years of experience in data engineering, ETL/ELT development, or enterprise data integration
Strong experience applying SDLC best practices, including version control, code reviews, CI/CD
Strong SQL skills and programming experience (e.g., Python)
Experience working with Workday data, integrations, or reporting preferred
Familiarity with Workday Finance and/or Professional Services Automation (PSA) domains preferred
Experience in regulated or audit-focused environments preferred
Knowledge of enterprise data access controls and audit support processes preferred.

Benefits

Comp & perks

Medical, dental, vision
Generous PTO plan and paid sick time
Flexible work arrangements
401K with Profit Sharing
Wellness program
Generous parental leave
11 paid holidays

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringETLELTSQLPythondata pipeline designdata quality controlsSDLC best practicesmonitoring and alertingdata migration

Soft Skills

communicationcollaborationtroubleshootingproblem-solvingstakeholder managementdocumentationrisk managementanalytical thinkingorganizational skillsattention to detail