Manager, Data Engineering
About The Position
The Manager, Data Engineering leads the teams responsible for designing, building, and maintaining enterprise data platforms and the association management system (AMS) built on Salesforce. The role ensures that data pipelines, integrations, and platforms are scalable, reliable, and secure, and oversees the operation, configuration, and optimization of the Salesforce-based AMS. The Manager establishes best practices and partners with business and technology stakeholders so that enterprise data and CRM systems support organizational goals. This position supervises, coaches, and develops data engineering and Salesforce AMS team members; directs enterprise data platform work; and manages Salesforce AMS operations and improvements. It oversees project planning and delivery, establishes standards for engineering and development, supports operational stability and incident resolution, and translates stakeholder requirements into technical solutions. This is a remote-eligible position for candidates residing in the contiguous United States, excluding California, Massachusetts, New York, and Oregon.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 8–10 years of related work experience.
- 1–3 years of supervisory experience.
- Experience leading a team of software developers, preferably a data engineering team.
- Extensive experience with AWS, Glue, DMS, SaaS-based ETL tools, Oracle, Postgres, S3, Athena, Dynamo, and SDLC.
- Excellent problem-solving skills and creative thinking abilities.
- Ability to manage multiple projects and priorities simultaneously.
- Ability to work independently and as part of a team.
- Excellent written and verbal communication skills.
- Strong attention to detail and commitment to data quality and accuracy.
Nice To Haves
- Master’s degree in a related field.
- Experience leading enterprise-scale data and CRM initiatives across hybrid or multi-cloud environments.
Responsibilities
- Supervise, coach, and develop data engineering and Salesforce AMS team members, providing performance feedback, career development support, and mentoring.
- Direct the design, development, and maintenance of enterprise data pipelines, data lakes, and warehouses, ensuring they are scalable, reliable, and optimized for analytics and reporting.
- Manage the Salesforce AMS platform, including configuration, integration, and ongoing optimization; ensure it supports business processes and that system changes are well-governed.
- Oversee planning and execution of projects across the data engineering and Salesforce AMS teams, ensuring deliverables are on time, within scope, and aligned with business needs.
- Define and enforce standards for data engineering and Salesforce development, including coding practices, security, and governance.
- Promote automation, efficiency, and quality across data engineering and Salesforce AMS functions.
- Partner with business units, analytics teams, and functional stakeholders to ensure data and CRM systems meet organizational needs, translating requirements into technical solutions.
- Ensure operational stability of enterprise data platforms and Salesforce AMS; oversee incident resolution, root cause analysis, and continuous improvement.
Benefits
- Medical, dental, and vision coverage
- Wellness programs and fitness reimbursement
- Paid time off, holidays, personal days, and sick leave
- Paid parental leave
- Short- and long-term disability benefits
- 403(b) retirement plan with employer contributions
- Financial planning resources
- Backup care for children, elders, and pets
- Resources for families with specialized needs
- Tuition reimbursement
- Professional learning and development opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Manager
