Staff Data Engineer, Data Architecture

ezCater is the most trusted provider of corporate food solutions and is purpose-built for business. ezCater's corporate food platform and flexible, scalable food solutions allow organizations to centralize and track their food spend, and fulfill everything from daily employee meals to client meetings and company all-hands. ezCater backs this up with business-grade, best-in-class, customer service and an unmatched nationwide footprint. We're backed by top investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille.

ezCater is looking for a Staff Data Engineer - Data Architecture to join our growing data technology team! 
OverviewThe Data Technology organization is empowering the business in unlocking new opportunities by integrating data and machine learning across our products and business functions. This team is composed of the following specializations: Data Engineering, Analytics Engineering, Machine Learning (ML) Eng and ML Ops. The Staff Data Engineer will join the Data Architecture function, solving complex data problems across all data teams. The ideal candidate is capable of driving platform, architecture and automation best practices, while also diving deep into specific areas and finding the best path forward. The candidate should be able to take ambiguous business problems and solve them through the power of the data platform. The candidate is expected to pave the path for data teams across various technologies around data ingestion, streaming, transformation, modeling, architecture and governance. 

What You'll Do:

• Accountable for the quality of your data platforms (availability, reliability, resilience, security, etc.) and adherence to consistent standards for engineering excellence.
• Understand and drive the architecture of data systems. Clearly communicate quality attributes and risks for that area to multiple audiences
• Maximize the impact of technical decisions made within the data domain. Guide managers, technical leaders, and senior data engineers in carefully considering business goals, trade-offs, quality attributes, cross-cutting concerns, and risks prior to committing to design decisions
• Improve team outcomes through embedded collaboration
• Improve the quality of the engineering practice, and the quality of the domain’s output
• Design and develop scalable, maintainable, and reliable data pipelines
• Work directly with Analytics Engineers, ML Engineers and Data Scientists to understand their needs and develop tooling and automation to improve developer efficiency
• Identify opportunities to optimize existing parts of our stack and develop strategies to pay down technical debt
• Monitor data systems and performance and look for ways to drive down our warehouse and infrastructure costs
• Be part of our innovation and transformation story. Responsible for the vision for data systems and thought leadership across technology and platform 
• Should proactively research and understand industry trends on various components of the data platform

What You'll Have:

• A systems thinker who challenges their own assumptions as well as those of others
• Deeply knowledgeable of technologies, architectural practices, industry practice, etc. which contribute to technical excellence within their domain of technical expertise
• Driver of technical change within an organization
• A sharp mind, a soft heart and a large funny bone
• An open mind and willingness to be flexible. We have a large and complex business, and believe in driving real value out of every project we do
Technical Requirements
• Hands-on experience with data warehousing, data lakes, ELT process, streaming and enterprise data platforms such as Snowflake, Redshift, BigQuery
• Experience with cloud providers such as AWS, GCP, Azure
• Expertise in Python & SQL is required
• Experience building and maintaining Infrastructure as Code modules for deploying infrastructure (e.g. Terraform, CloudFormation or similar)
• A strong understanding of the data SDLC and a desire to improve deployment safety and speed through CI/CD.  
• Knowledge of workflow automation platforms and tooling like Github Actions or Jenkins
• Our stack is Snowflake, DBT, Stitch, Airflow, AWS, Sagemaker, MLFlow, Kubernetes, Docker, Monte Carlo and Python. Any experience with the above is a nice-to-have, but a desire to learn is a must

The national cash compensation range for this role is $174,000-$224,000* per year.
*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).
ezCater does not sponsor