Engineering Manager, Data Platform
PAR Technology
Date: 9 hours ago
City: Remote, Remote
Contract type: Full time
Remote

For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more, visit partech.com or connect with us on LinkedIn, X (formerly Twitter), Facebook, and Instagram.
Position Description
The Engineering Manager, Data Platform will manage a small, semi-distributed group of engineers and function as a player-coach, contributing 40% of their time as a senior engineer on the PAR Retail data team. This role involves code review, pairing, mentoring, and strategic collaboration to build resilient and extensible systems.
Position Location:
Remote, United States
Reports To
Director, Software Development
Requirements
What We’re Looking For:
Compensation Range: $160K - $170K
Position Description
The Engineering Manager, Data Platform will manage a small, semi-distributed group of engineers and function as a player-coach, contributing 40% of their time as a senior engineer on the PAR Retail data team. This role involves code review, pairing, mentoring, and strategic collaboration to build resilient and extensible systems.
Position Location:
Remote, United States
Reports To
Director, Software Development
Requirements
What We’re Looking For:
- 5+ years as a leader in software development, preferably at a SaaS company
- Programming: Python, SQL, Terraform
- Data Modeling: Strong understanding of data modeling concepts and practices
- Big Data Technologies: Databricks, Spark, Structured Streaming
- Databases: Relational (Postgres) and NoSQL (DynamoDB) databases
- Monitoring & Observability: DataDog
- Cloud Platforms: AWS or Azure and their data solutions
- AI Integration: Demonstrated experience with implementing AI-driven analysis tools into data pipelines
- Data Governance: Understanding data privacy, security, and governance practices
- Version Control: Git, GitHub
- Demonstrable experience as a leader in geographically distributed teams building SaaS products
- Strong interpersonal and people-management skills, excellent written and verbal communication
- Strong sensibility for “keeping it simple” and managing systems complexity
- Experience as a senior-level hands-on contributor with deep knowledge of software engineering best practices
- Comfort and experience with interacting with internal leadership and technical counterparts
- Experience with Open Commerce platform technologies and cross-disciplinary collaboration.
- Manage a small, semi-distributed group of engineers
- Contribute 40% of time as a senior engineer on the PAR Retail data team
- Engage in code review, pairing, and presentational activities
- Develop technical and career growth plans for engineering reports
- Hold regular 1-1 meetings and provide hands-on coaching
- Participate in professional development activities
- Collaborate with peers and Director of Software Development to improve engineering processes
- Support recruiting efforts
- Mentor engineers to build leadership capacity
- Foster a strong team culture focused on collaboration and product
- Advocate for engineering team needs across the organization
- Assist with technical investigations and code development
- Collaborate with Product organization on roadmap and strategic direction
- Support scoping, estimation, and product feature definition
- Interview #1: Phone Screen with Talent Acquisition Team
- Interview #2: Technical Interview with Team (via MS Teams)
- Interview #3: Video interview with the Hiring Manager (via MS Teams)
Compensation Range: $160K - $170K
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