Sysco LABS Sri Lanka

THE BIG PICTURE

Sysco LABS is the captive innovation arm of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco is a Fortune 500 company and the global leader in selling, marketing, and distributing food products to restaurants, healthcare, and educational facilities, lodging establishments and other customers who prepare meals away from home. Its family of products also includes equipment and supplies for the foodservice and hospitality industries. With more than 76,000 colleagues, the company operates 334 distribution facilities worldwide and serves approximately 730,000 customer locations. For fiscal year 2024 that ended July 1, 2024, the company generated sales of more than $78.8 billion.

Operating with the agility and tenacity of a tech–startup, powered by the expertise of the industry leader, Sysco LABS is perfectly poised to transform one of the world’s largest industries.

Sysco LABS’s engineering teams based out of Colombo, Sri Lanka and Austin and Houston, TX, innovate across the entire food service journey – from the enterprise grade technology that enables Sysco’s business, to the technology that revolutionizes the way that Sysco connects with restaurants and the technology that shapes the way those restaurants connect with customers.

Sysco LABS 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.

THE OPPORTUNITY

We are currently on the lookout for a Director – Data Engineering to join us and work with our teams across the company.

RESPONSIBILITIES

Disseminating the vision and providing overall leadership to multiple data engineering teams across the organization
Actively participating in business value assessment and business requirements elaboration phases
Translating business requirements into innovative technical solutions
Researching on 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/platforms related to, but not limited to batch data and streaming data processing, APIs (data as-a-service), data lakes and data warehouses, to meet system specifications and driving multiple teams to deliver quality solutions and validating them against the solution architecture
Actively participating in detail design and development phases to ensure successful delivery of all data engineering related projects.
Introducing and maintaining best practices across multiple data engineering disciplines like Data Fabric, Data Mesh, Data Lakes/Data Warehousing and batch processing, streaming and real-time data processing, API for data as-a-service, data quality, etc. and adhering to Continuous Integration and Continuous Delivery of solutions
Building strong relationship across the Sysco hierarchy and mentor and guiding multiple engineering teams from different disciplines to ensure continuous improvement and fostering a culture of excellence
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

REQUIREMENTS

A minimum of 12 years’ work experience along with a Bachelor’s Degree in Computer Science/equivalent or a minimum of 8 years’ work experience along with a Master’s Degree in Data Science; Work experience gained in developing enterprise data solutions related to, but not limited to batch data and streaming data processing, APIs (data as-a-service), data lakes and data warehouses with at least 5 years of experience in a senior leadership role
Experience in project estimation techniques, architecture and design patterns and performance engineering
Excellent leadership and negotiation skills with the ability to clearly propose and articulate architecture and technology decisions
Hands-on experience in 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+ years of experience in data modeling, design and development including authoring complex queries, stored procedures and ETL jobs to process large volumes of data (experience in commercial ETL tools such as Informatica will be an added advantage)
Hands-on experience in working with 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)
Experience in API development to provide data as-a-service (REST, Bulk and Streaming APIs)
Experience in design and development of Data Quality processes and standards
2+ years of experience in Machine Learning using large Data Sets
2+ years of experience in Data Visualization with tools such as Tableau and Microsoft Power BI
4+ years of experience in 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
Exposure to migrating large scale data from legacy to modern data platforms
Working in a Scrum Agile delivery environment and DevOps practices

BENEFITS

US dollar-linked compensation
Performance-based annual bonus
Performance rewards and recognition
Agile Benefits - special allowances for Health, Wellness & Academic purposes
Paid birthday leave
Team engagement allowance
Comprehensive Health & Life Insurance Cover - extendable to parents and in-laws
Overseas travel opportunities and exposure to client environments 
Hybrid work arrangement