People Data Solutions Engineering Manager
2 weeks ago
Overview:
Toast is driven by building the all-in-one restaurant platform that helps restaurants operate their business, increase sales, engage guests, and keep employees happy.
Our People Data Engineering Manager will focus on designing, building, and
maintaining our People Data Snowflake instance infrastructure, required for efficient data processing and analysis of our people data (e.g., headcount, turnover, performance management engagement).
scalable and reliable data solutions as well as implement data governance policies and data quality standards.
About this roll* (Responsibilities)Design and execute ad-hoc SQL queries in Snowflake to address complex questions about people data
Design, implement, and optimize data architecture solutions for confidential data about Toast's employees
Data Ingestion and Transformation:
Build and maintain data ingestion pipelines to extract data from various sources and transform it into usable formats.
Data Storage and Retrieval:
Manage and optimize data storage solutions (e.g., relational databases, data lakes, or cloud-based storage systems), to ensure efficient data retrieval and analysis.
Data Quality:
Build strategies to automate data accuracy; verify data accuracy after completion of requests to ensure data flows accurately
Collaboration and Documentation:
Collaborate with cross-functional teams, data scientists, and data reporting analysis to understand data requirement; provide documentation for data infrastructure solutions and best practices.
Mentor, support and manage other team membersDo you have the right ingredients*? (Requirements)A bachelor's or master's degree in computer science, data engineering, or a related field
5+ years of experience in data engineering, infrastructure engineering, or related roles.
Mastery level understanding of SQL and how it is applied to large data sources
Experience with database systems, system security and access control.
Experience handling sensitive and confidential data and working knowledge of applicable regulations related to personal data in Europe, the U.S.
Proficiency in programming languages like Python or Java, along with scripting skills for data pipeline
automation
Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
Understanding of data modeling principles and
the ability to design efficient data architectures and schemas.
Demonstrated proficiency in navigating and utilizing APIs
Knowledge of data governance practices and familiarity with data privacy regulations
Advanced knowledge of and experience with using data warehouses, data lakes, data pipelines; Snowflake experience preferred.
Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.
Demonstrated ability to manage, coach, and support others
Good verbal and written communication skills.
We are ToastersDiversity, Equity, and Inclusion is Baked into our Recipe for Success.
At Toast our employees are our secret ingredient. When they are powered to succeed, Toast succeeds.
The restaurant industry is one of the most diverse industries.
We embrace and are excited by this diversity, believing that only through authenticity, inclusivity, high standards of respect and trust, and leading with humility will we be able to achieve our goals.
Baking inclusive principles into our company and diversity into our design provides equitable opportunities for all and enhances our ability to be first in class in all aspects of our industry.
Bready* to make a change? Apply todayToast is committed to creating an accessible and inclusive hiring process.As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process.
If you need an accommodation to access the job application or interview process, please contact-
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