McCormick & Company - Data Engineering Manager

PRIMARY PURPOSE OF THE ROLE :

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 :

1. 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).

2. 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.

3. 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.

4. 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 : Bachelors 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.