Senior Technical Lead/Technical Lead – Data Engineering (Data Management Service)

Job Description

The Big Picture

Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 56th in the Fortune 500 list and is the global leader in the trillion-dollar foodservice industry.    

Sysco employs over 75,000 associates, has 337 smart distribution facilities worldwide and over 14,000 IoT-enabled trucks serving 730,000 customer locations. For fiscal year 2025 that ended June 29, 2025, the company generated sales of more than $81.4 billion. Sysco LABS Sri Lanka delivers the technology that powers Sysco’s end-to-end operations.      

Sysco LABS’ enterprise technology is present in the end-to-end foodservice journey, enabling 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 and the in-restaurant dining experience of the end-customer.  

The Opportunity

We are seeking a highly skilled and experienced Data Management Services Lead to own and drive the delivery of enterprise-wide data management capabilities in support of our Master Data Management (MDM) and central Data & Analytics Hub. This leadership role will be responsible for the strategic and operational oversight of data cleansing, data standardization, data quality, metadata management, reference data management, and data enrichment processes. The right candidate will play a critical role in designing, automating, and maintaining scalable and governed data management services that feed into our enterprise analytics, MDM, and governance platforms. 

Responsibilities:

• Data Management Strategy & Execution 
• Defining and leading the implementation of data management service frameworks aligned with MDM and analytics use cases 
• Developing automation strategies to streamline data cleansing, standardization, and enrichment before integration into enterprise systems 
• Data Quality & Governance 
• Establishing and maintaining data quality monitoring frameworks, scorecards, and remediation workflows 
• Implementing business rules and AI-driven logic to improve the accuracy, completeness, and consistency of master and transactional data 
• Partnering with data stewards to enforce governance policies and improve data trustworthiness 
• Reference & Master Data Management 
• Designing and managing reference data models, taxonomies, and mapping strategies 
• Leading the operationalization of MDM services including entity resolution, golden record creation, and stewardship workflows 
•  Metadata & Lineage Management 
• Overseeing the integration of metadata from diverse sources using tools such as Alation, Collibra, or Informatica 
• Establishing lineage and impact analysis processes to ensure transparency and traceability across the data lifecycle 
•  Data Enrichment & Integration 
• Integrating external and third-party data sources to enhance business records and analytics capabilities 
• Defining and implementing API-based and ETL/ELT pipelines to support real-time and batch data flows 

• Collaboration & Leadership

• Acting as a key liaison between data architects, engineers, stewards, and business stakeholders 
• Providing thought leadership on best practices in data management, data literacy, and data-as-a-product principles  

Requirements:

• A Bachelor’s or Master’s Degree in Computer Science, Information Systems, Data Management, or related field 
• For Technical Lead level; 6+ years of experience and for Senior Technical Lead level; 8+ years of experience in data management or data architecture, with at least 3 years in a leadership or senior role 
• Proven expertise in MDM, data quality, classification, Profiling, metadata management, and reference data practices 
• Hands-on experience with modern data management, catalog tools (e.g., Informatica, Talend, Alation, Collibra, Profisee) 
• A strong understanding of cloud platforms and data ecosystems (AWS, Azure, GCP, BigQuery, Snowflake) 
• Excellent problem-solving skills with a strategic mindset and attention to detail 
• Strong communication and stakeholder management skills across technical and business teams 
• Experience in implementing data governance frameworks at scale and familiarity with AI/ML for anomaly detection and data quality improvement are preferred  

Benefits:

• Us Dollar-Linked Compensation

• Performance-Based Annual Bonus

• Performance rewards and recognition  
• Agile Benefits - special allowances for Health, Wellness & Academic purposes  
• Comprehensive Health & Life Insurance Cover - extendable to parents and in-laws  
• Overseas travel opportunities and exposure to client environments  
• Sysco LABS is an Equal Opportunity Employer. 

• Paid Birthday Leave

• Team Engagement Allowance

• Hybrid Work Arrangement