Carex is partnering with a global industrial technology and specialty vehicle manufacturing partner to find a Principal Data Engineer to lead the advancement of data and analytics technologies across the enterprise. This role is central to establishing scalable, secure, and sustainable data solutions in a hybrid-cloud environment, with a strong focus on designing and implementing modern data platforms that support AI, analytics, and machine learning capabilities.
What You’ll Do
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Serve as a subject matter expert in cloud-based data engineering, modeling, and architecture across OLTP and OLAP systems.
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Coach and mentor engineers, guiding best practices in data solution design, implementation, and cybersecurity compliance.
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Design and deploy scalable cloud infrastructure using infrastructure-as-code tools such as Terraform within Microsoft Azure.
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Collaborate with enterprise and domain architects to develop and maintain reusable cloud service patterns for data and analytics.
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Build and maintain logical and physical data models using tools like ER Studio to support business performance and scalability.
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Develop ingestion and orchestration patterns leveraging CDC tools (e.g., Qlik Replicate, Debezium), Airflow, and shell scripting.
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Ensure alignment of data platforms with organizational cybersecurity standards, participating in assessments and mitigation strategies.
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Lead the integration of modern tools such as Databricks, Delta Lake, Hive metastore, and open-source transformation frameworks like dbt.
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Support data governance and quality initiatives across the enterprise while aligning with strategic business needs and long-term data scalability.
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Contribute to long-range planning and implementation of enterprise-wide data strategies, securing stakeholder buy-in and driving innovation.
What You’ll Bring
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Bachelor’s degree with 10+ years of experience in data engineering or a related field.
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Demonstrated technical leadership and influence across technology teams.
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Proficiency in Python within analytics or data science environments and experience with version control systems (e.g., Git).
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Expertise in cloud data engineering, particularly within Microsoft Azure environments.
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Experience designing and operationalizing scalable data pipelines and infrastructure using tools like Terraform, Databricks, and orchestration platforms.
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Familiarity with data governance, cybersecurity, and modern data warehousing best practices.
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Excellent communication and presentation skills with the ability to bridge technical and business teams.
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Master’s degree in Analytics, Computer Science, Engineering, or related discipline preferred.
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Experience with Microsoft Azure Gov Cloud (GCC High) is a plus.
Carex Consulting Group is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, or Veteran status.
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