Data Engineer
IntelliTech
AWSAzureCloudETLJavaJavaScriptNoSQLPythonScalaSparkSQL
Enterprise Data Engineering Lead
Perrigo Company plc
full-time
Posted on:
Location Type: Hybrid
Location: Grand Rapids • Missouri • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureBigQueryCloudERPETLMicroservicesMongoDBNoSQLPostgresPythonScalaSparkSQL
About the role
- Design, implement, and optimize data pipelines, platforms, and architecture to support analytics, AI/ML, and business intelligence across the company
- 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
- 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.
Requirements
- 10+ years of experience with Cloud platforms and Cloud data warehouses
- 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
- Bachelor's degree in computer science, engineering, or closely related field; combined with 10-14 years of experience in data engineering, with at least 3 years in a leadership role
- Masters degree preferred.
Benefits
- Competitive compensation
- Benefits tailored to supporting you and your family
- Career development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonScalaSQLSparkETLELTdata lakehousereal-time streamingmicroservices architecturedata governance
Soft skills
leadershipcommunicationanalytical mindsetcollaborationinfluence stakeholdersmentoringinnovationcontinuous improvementagile methodologiesproblem-solving
Certifications
Bachelor's degree in computer scienceBachelor's degree in engineeringMaster's degree preferred