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 seeking a strategic and technically adept Senior Manager of Domain Data Architecture to lead the design and evolution of our enterprise data platform. The right candidate will drive the architecture and governance of domain-specific data models, ensuring scalable and secure data integration across business units. This position is critical to enabling data-driven innovation in a high-volume, fast-paced environment.
RESPONSIBILITIES
Leading design and architecture and supporting the implementation of domain-driven data models across the enterprise, using Snowflake on GCP
Overseeing a team of domain data architects. The team members partner with respective domain-functional owners and domain-data owners to architect each node within Snowflake on GCP
Architecting scalable, secure, and efficient data pipelines leveraging Kafka for real-time data streaming
Partnering with data governance, analytics, and engineering teams to ensure data quality, lineage, and compliance
Overseeing architectural standards, frameworks, and documentation to support modern data platform strategies
Evaluating and recommending emerging data technologies and best practices
REQUIREMENTS
10+ years in data architecture, engineering, or platform strategy, with 3+ years in leadership capacity; experience in Snowflake
Deep experience with Snowflake architecture including data sharing, data management services, and data integration
Hands-on expertise in GCP data and analytics services (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage)
A strong background in event-driven architecture using Kafka (e.g., Kafka Streams, Kafka Connect)
A proven track record of designing domain-centric data models in a federated or data mesh environment
Strong understanding of data governance, metadata management, and security best practices
Possessing the following will be advantageous:
Domain experience in any of the areas like Supply Chain, Merchandising, Finance, HR, Sales, or other
Experience architecting or implementing data mesh or product-centric data ownership models
Familiarity with DevOps/DataOps methodologies and CI/CD pipelines
Knowledge of data catalog tools (e.g., Collibra, Alation) and orchestration frameworks (e.g., Airflow, dbt)
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
