Data Engineering Manager
Data Engineering Manager
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Job Description
About the Role
As part of the AI & Data organization the Enterprise Business Intelligence (EBI) team is central to NXPs data analytics success. We provide and maintain scalable data solutions platforms and methodologies that empower business users to create self-service analytics and drive data-informed decisions.
We are seeking aData Engineering Managerto lead a team of skilled Data Engineers. In this role you will be responsible for overseeing the design development and maintenance of robust data pipelines and data models across multiple data platforms including Databricks Teradata Postgres and others. You will collaborate closely with Product Owners Architects Data Scientists and cross-functional stakeholders to ensure high-quality secure and scalable data solutions.
Key Responsibilities
- Lead mentor and grow a team of Data Engineers fostering a culture of innovation collaboration and continuous improvement.
- Oversee the design development and optimization of ETL/ELT pipelines and data workflows across multiple cloud and on-premise environments.
- Ensure data solutions align with enterprise architecture standards including performance scalability security privacy and compliance.
- Collaborate with stakeholders to translate business requirements into technical specifications and data models.
- Drive adoption of best practices in data engineering including code quality testing version control and CI/CD.
- Partner with the Operational Support team to troubleshoot and resolve data issues and incidents.
- Stay current with emerging technologies and trends in data engineering and analytics.
Required Skills & Qualifications
- Proven experience as a Data Engineer with at least12 yearsin ETL/ELT design and development.
- 5 yearsof experience in atechnical leadership or management role with a track record of building and leading high-performing teams.
- Strong hands-on experience withcloud platforms(AWS Azure) and their data services (e.g. S3 Redshift Glue Azure Data Factory Synapse).
- Proficiency inSQLPython andPySparkfor data transformation and processing.
- Experience withdata orchestration toolsandCI/CD pipelines(GitHub Actions GitLab CI).
- Familiarity withdata modelingdata warehousing anddata lake architectures.
- Understanding ofdata governancesecurity andcomplianceframeworks (e.g. GDPR HIPAA).
- Excellent communication and stakeholder management skills.
Preferred Skills & Qualifications
- Experience withAgile methodologiesandDevOps practices.
- Proficiency withDatabricksTeradata Postgres Fivetran HVR andDBT.
- Knowledge ofAI/ML workflowsand integration with data pipelines.
- Experience withmonitoring and observability tools.
- Familiarity withdata catalogingandmetadata managementtools (e.g. Alation Collibra).
Required Experience:
Manager
Employment Type
Full-Time
