Remote Manager Data Engineering

Summary

Join Restaurant365 as the Manager, Data Engineering to lead our dynamic internal-facing Data & Analytics team, drive data-informed decision-making, and mentor Data Engineers and Analytics Engineers. You'll collaborate with cross-functional stakeholders, manage priorities, scope, and timelines, and oversee quality of work.

Requirements

• 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

Responsibilities

• Manage the Data and Analytics Engineering team to provide priorities, scope, and timelines
• Oversee 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
• 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
• 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
• 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

Benefits

• Comprehensive medical benefits, 100% paid for employee
• 401k + matching
• Equity Option Grant
• Unlimited PTO + Company holidays
• Wellness initiatives