Data Engineering Manager

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyone's contributions and do what's right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better.

Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers.

While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas, including North, South and Central America

Job Description
Responsible for leading, mentoring, and empowering a team of data engineers to develop, optimize, and maintain robust data pipelines and infrastructure in order to deliver and support high quality enterprise-wide analytics and visualization needs.

Key Roles & Responsibilities
Technical Leadership & Solution Delivery

• Oversee the design, development, and testing of scalable data solutions to ensure seamless integration and accessibility for Business Intelligence (BI) tools.
• Provide high-level technical guidance, review and approve architectural decisions and technical designs to ensure best practices in data engineering (e.g., data modeling, ETL/ELT design, and data quality).

Data Infrastructure and Ecosystem

• Stay up-to-date on industry trends and emerging technologies to guide strategic decisions and plan for scaling data infrastructure to meet future growth and demand.
• Collaborate closely with business stakeholders and other technical leaders to conceptualize, architect, and implement enterprise-grade databases and data ecosystems.

Stakeholder Collaboration and Strategic Alignment

• Act as a strategic partner to the business by aligning data engineering priorities with organizational goals and supporting cross-functional teams as needed.
• Facilitate collaboration between data engineering and other teams (i.e. data science, analytics, and IT) to ensure smooth communication and alignment of data initiatives.

Team Management and Agile Delivery

• Lead and manage the day-to-day operations of the data engineering team, including sprint planning, backlog grooming, and progress tracking.
• Drive agile delivery practices and timely project deliveries while managing risks and dependencies.
• Foster a culture of innovation, collaboration, and continuous improvement.

Minimum Requirements
Education and Discipline
:

• Bachelor's in Data Analytics or similar discipline.
• Minimum 7 years in a Professional Related Field.

Minimum Experience Required

• Understanding of enterprise data sources to drive visibility of top losses.
• Familiarity with creating data sets in Azure or similar data lake environment.
• Comfortable working with structured data.
• Demonstrated ability to proactively solve problems.
• Learn and execute analytics and automation technologies and improve systems.
• Experience leading engineering projects from initial request to final data exposure.

Certifications and/or Licenses :
MS Azure certification (preferred)

Other Skills & Competencies

• Work closely with fellow analysts, Change Management team, and functional solution leads.
• Confident leading teams to successful projects and meet business objectives and priorities
• Maintain a sense of urgency to meeting scheduling plans and customer requirements.
• General business acumen.
• Ability to learn and implement new Analytics and automations tools.
• Able to merge business questions/needs with available data to provide data-driven insights.

At McCormick, we have over a 100-year legacy based on our "Power of People" principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values