Restaurant365
Irvine, CA
201-500 employees
R365's cloud-based restaurant management software helps leaders master accounting, operations, & workforce to create incredible moments that drive profits.
Prior Listings
- Senior Data Scientist
- Director, Data & Analytics
- Data Warehouse Engineer I
- Senior Data Engineer
- Data Engineer
- Sales Operations Analyst
- Business Intelligence Analyst
- Revenue Operations Analyst
- Data Engineer
- Senior Business Intelligence Analyst
- Analyst, Revenue Operations
- Principal Product Manager, Reporting & Analytics
- Senior Business Intelligence Analyst
- Senior Analyst, Accounting Data Management & Reporting
- Manager, Business Intelligence
Manager, Data Engineering
Manager, Data Engineering
Restaurant365 is a SaaS company disrupting the restaurant industry! Our cloud-based platform provides a unique, centralized solution for accounting and back-office operations for restaurants. Restaurant365’s culture is focused on empowering team members to produce top-notch results while elevating their skills. We’re constantly evolving and improving to make sure we are and always will be “Best in Class” ... and we want that for you too!
As the Manager, Data Engineering you'll be an integral leader of our dynamic internal-facing Data & Analytics team, responsible for driving data-informed decision-making across the organization. You'll work closely with cross-functional stakeholders to gather and analyze business requirements and turn them into high-impact data products for Restaurant365while also mentoring Data Engineers and Analytics Engineers, both onshore and offshore. You’ll collaborate with all levels of the organization across all functions. If you're driven, accountable, empathetic, and love good food, we'd love to have you join our team.
How you'll add value:
- People Management: manage the Data and Analytics Engineering team to provide priorities, scope, and timelines, overseeing quality of work, goal setting and performance reviews; guide a new team from storming to performing; mentor and train members of the team in data warehouse design, pipeline development, and orchestration best practices.
- Data Architecture & Product Management: collaborate with executives, business leaders, and cross-functional teams to understand their data needs and strategic objectives; translate data needs and strategic objectives into technical requirements and architectural diagrams for data warehouse design, pipeline development, and reverse ETL to other IT systems; create documentation for reference, process, and results; establish process to receive feedback on implemented projects to ensure the anticipated value creation is achieved; drive the concept of data as a product by applying product thinking into datasets; stay up to date with industry trends and emerging technologies in data and analytics engineering and evaluate their potential impact on the business.
- Project Management: work with the Enterprise Technology & Data leadership team to translate data needs and strategic objectives into a larger Insights roadmap, which includes Business Intelligence and Data Science & Machine Learning; create project plans for larger initiatives; lead multiple large scale, high impact projects that are transformational for users; manage the Enterprise Data Warehouse (EDW) Agile scrum team; deliver and report on quarterly OKRs.
- Stakeholder Engagement: act as a trusted advisor, guiding how data can be leveraged to achieve business outcomes; establish and nurture strong stakeholder relationship built on trust, delivery, and support; establish SLAs, metrics, objectives and success criteria for the team and guide the team in achieving business needs; communicate complex ideas and concepts to non-technical peers and customers.
- Other: other duties as assigned, including hands-on technical work as needed to support the team in hitting deadlines; occasional travel may be required.
What you'll need to be successful in this role:
- 3-5 years of formal people manager experience leading teams of 3+
- 1+ years of experience leading offshore resources
- 8+ years in data and/or engineering (data engineering, analytics engineering, software engineering, etc.)
- 1+ years of SaaS industry experience required
- Strong working experience with Business Intelligence and Analytics teams; Data Science & Machine Learning is a plus
- Exemplary analytical problem-solving skills, and knowledge of data engineering tools (I.e. GCP, dbt, Fivetran, Census, Apache Airflow)
- Advanced knowledge of SQL and Python
- Excellent communication and collaboration skills, with the ability to influence stakeholders at all levels of the organization
- Strong attention to detail and excellent written/verbal communication skills
- Intrinsically motivated to achieve goals, deliver on tasks without reminders, and be very responsive in a remote environment
R365 Team Member Benefits & Perks
- This position has a salary range of $165,000-$198,000. The above range represents the expected salary range for this position. The actual salary may vary based upon several factors, including, but not limited to, relevant skills/experience, time in the role, business line, and geographic location. Restaurant365 focuses on equitable pay for our team and aims for transparency with our pay practices.
- Comprehensive medical benefits, 100% paid for employee
- 401k + matching
- Equity Option Grant
- Unlimited PTO + Company holidays
- Wellness initiatives
$165,000 - $197,998 a year
R365 is an Equal Opportunity Employer and we encourage all forward-thinkers who embrace change and possess a positive attitude to apply.