Sysco LABS is the captive innovation center for Sysco Corporation (NYSE:SYY), a Fortune 100 company and the world’s largest foodservice provider with 71,000+ associates, 330+ distribution centers and over 700,000 customers in 90 countries. For fiscal 2022 that ended July 3, 2022, Sysco generated over $68 billion in sales.
Sysco LABS powers Sysco’s farm-to-fork operations and our technology is present in the sourcing of food products, merchandising, storage and warehouse operations, order placement and pricing algorithms, the delivery of food and supplies to Sysco’s global network, the in-restaurant dining experience of the end-customer and much more.

Our technology ecosystem spans 600+ applications, monitoring and incident management across 10,000+ servers, multi-cloud – multi-platform event streaming and microservices architecture, and enterprise-grade systems that power a catalog of over 1.4 million products, 330+ distribution centers and a fleet of 14,000 IoT-enabled delivery trucks, and more.

Everything we do at Sysco LABS supports Sysco’s Purpose of ‘Connecting the world to share food and care for one another’, and our technology directly impacts millions of food consumers in a trillion-dollar, global industry.


The Director – Data Engineering at Sysco LABS is a senior leadership position. The right candidate will manage multiple platform and data engineering teams while working closely with Sysco’s technology leadership to drive all things data at Sysco LABS.


  • Disseminating the vision and providing overall leadership to multiple platform and data engineering teams across the organization
  • Researching new cutting-edge technologies and platforms for data solutions and applying them as necessary, for the benefit of the business 
  • Architecting enterprise-level data solutions and core platforms related, but not limited to: Batch data and streaming data processing, APIs, Data lakes and data warehouses, meeting system specifications and driving multiple teams to deliver quality solutions, validating them against the solution architecture
  • Actively participating in detailed design and development phases to ensure the successful delivery of all data engineering-related projects


  • Building strong relationships across the Sysco network and mentoring and guiding multiple engineering teams from different disciplines to ensure continuous improvement and foster a culture of excellence
  • Actively participating in business value assessment and business requirements elaboration phases
  • Translating business requirements into innovative technical solutions 
  • Introducing and maintaining best practices across multiple data engineering disciplines such as: Data lakes/Data warehousing and batch processing, Streaming and real-time data processing, APIs and event-based communication, data quality, etc., and ensuring teams adhere to Continuous Integration and Continuous Delivery of solutions
  • Collaborating and working with agile, cross-functional offshore and onshore business and technical teams to ensure deliverables are achieved on time and within budget while maintaining strict quality standards


  • Excellent leadership and negotiation skills with the ability to clearly propose and articulate architecture and technology decisions
  • A Bachelor’s Degree in Computer Science/equivalent + 12 years of work experience Or
  • A Master’s Degree in Data Science/Data Engineering + 8 years of work experience
  • A minimum of 5 years of experience in a leadership role developing enterprise data solutions
  • Experience in:
  1. Project estimation techniques, architecture and design patterns and performance engineering
  2. Design and development of large-scale distributed systems, including with optimal usage of microservices and related communication patterns (REST, Bulk and Streaming APIs)
  3. Design and development of Data Quality processes and standards
  4. Working with large volumes of data and distributed processing frameworks (such as Apache Kafka, AWS Kinesis, Spark, Flink) and building state for streaming data
  5. Handling different types of databases; large relational storage engines (MySql and AWS RDS) and distributed storage engines (HDFS/Hadoop, NoSQL and Cloud tools such as S3, Redshift, Snowflake)
  6. Working in a Scrum Agile delivery environment and DevOps practices
  • 5+ years of experience in data modeling, design and development including authoring complex queries, stored procedures and ETL jobs to process large volumes of data
  • 4+ years of experience in Database and Query Optimization 
  • 3+ years of experience working on one or more Cloud Providers (AWS, Azure, GCP) with an emphasis on services relating to Databases, Data warehousing, Machine Learning and Storage 
  • 2+ years of experience in Machine Learning using large Data Sets and Data Visualization with tools such as Tableau and Microsoft Power BI


Experience in the following would the advantageous:

  • Commercial ETL tools such as Informatica
  • Digital Asset Management (DAM) systems such as OpenText
  • Master Data Management systems such as Stibo STEP, Amperity
  • Exposure to migrating large-scale data from legacy to modern data platforms


  • An attractive base compensation package comfortably above market rates
  • Performance rewards and recognition
  • Comprehensive healthcare coverage
  • A health and wellness allowance
  • A team outing allowance
  • Paid birthday leave
  • Learning and development allowance
  • Overseas travel opportunities and exposure to client environments
  • A progressive culture that promotes work-life harmony and personal development

Sysco LABS is an Equal Opportunity Employer.

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Life @ Sysco LABS
At Sysco LABS, we always go the extra mile but know when to have some fun too - we never pass up an opportunity to celebrate or let our hair down and understand the importance of play in helping us do our best work.