MSPbots.ai

Data Engineering Manager

MSPbots.ai

full-time

Posted on:

Origin:  • 🇺🇸 United States • Illinois

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Job Level

SeniorLead

Tech Stack

ETLPythonSQLTableau

About the role

  • Lead and scale our unified data engineering team to power MSPbots.ai’s next phase of growth.
  • Direct Reports: 3 Data Engineers (with future team growth planned); future integration: Data Analysts.
  • Reporting Line: Executive Leadership Team.
  • Location: Remote (cross-timezone collaboration required for China and Philippine Team).
  • Establish unified data models across ConnectWise, AutoTask, and Halo for PSA Data Integration.
  • Resolve sync issues and build scalable infrastructure to support 10x customer growth.
  • Provide the data foundation for AI Ticket Triage and future AI-driven products.
  • Develop automated dashboards for client health monitoring, churn prediction, and executive KPIs.
  • Recruit, develop, and retain top data engineering talent; provide technical mentorship and support career growth.
  • Partner with product, engineering, and customer success teams for cross-functional collaboration.
  • Establish quality standards, security protocols, and compliance best practices.

Requirements

  • 10+ years in data engineering, with 2+ years in team management.
  • Strong understanding of data engineering, analytics, and data science workflows.
  • Proficiency with modern data technologies such as SQL, Python, Snowflake, and BI tools (PowerBI, Tableau).
  • Experience with predictive modeling and scalable pipeline architecture.
  • Proficiency with data integration tools, RESTful APIs, and custom ETL processes.
  • Establish robust data governance, security, and compliance practices (e.g., SOC2, GDPR).
  • Excellent communication skills and ability to translate complex data concepts into business value.
  • Strong English for cross team working.
  • Experience in SaaS, internet, or technology industries preferred.
  • Proven track record of building and managing high-performing technical teams.
  • Comfortable working with executive leadership and external clients.
  • Ability to work with teams across US, China and Philippines time zones with flexible hours.
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