Enterprise Data Engineering Lead

Perrigo • Grand Rapids, MI

75d

About The Position

This is a strategic leadership role within the Data, Analytics & AI organization, focused on building and scaling Perrigo’s enterprise data engineering capabilities. The Data Engineering Lead will be responsible for designing, implementing, and optimizing data pipelines, platforms, and architecture to support analytics, AI/ML, and business intelligence across the company. This role reports directly to the VP - Data, Analytics & AI and will play a critical role in Perrigo’s digital transformation journey.

Requirements

• Proficiency in Python, Scala, SQL, Spark, and cloud-native data platforms.
• Expertise in SQL/ NoSQL databases (e.g., PostgreSQL, MongoDB, BigQuery, or similar).
• Strong background in designing & building high performance data lakehouse, real-time streaming, and microservices architecture.
• Proven ability to lead complex data initiatives and deliver results on time.
• Excellent verbal and written communication skills, with the ability to influence stakeholders.
• Demonstrated success in building and leading high-performing data engineering teams.
• Strong analytical mindset with a focus on scalable solutions.
• 10+ years of experience with Cloud platforms and Cloud data warehouses.

Nice To Haves

• Master's degree preferred.

Responsibilities

• Architect E2E data solutions in cloud environments (Azure or AWS), encompassing data ingestion, data lake, data warehouse, real-time streaming, modeling, and consumption.
• Develop and maintain enterprise data architecture frameworks, standards & principles.
• Lead the design and implementation of scalable, secure, and high-performance data pipelines.
• Define and enforce data engineering standards, best practices, and governance across teams.
• Collaborate with data scientists, analysts, and business stakeholders to ensure data availability and usability.
• Build and maintain robust ETL/ELT pipelines for structured and unstructured data sources.
• Optimize data workflows for performance, reliability, and cost-efficiency.
• Ensure data quality, lineage, and observability across all pipelines.
• Evaluate and implement modern & emerging tools and cloud platforms (e.g., Azure, Databricks) to improve data engineering capabilities.
• Drive automation and CI/CD practice in data engineering workflows.
• Integrate data platforms with enterprise systems including ERP, CRM, and external data sources.
• Lead and mentor a team of data engineers, fostering a culture of innovation and continuous improvement.
• Partner with IT and business leaders to align data engineering initiatives with strategic goals.
• Promote agile methodologies and cross-functional collaboration.
• Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and internal security policies.
• Implement data governance frameworks in collaboration with data stewards and legal teams.

Benefits

• Competitive compensation.
• Benefits tailored to supporting you and your family.
• Career development opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees