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# Lead Data Engineer

- **Company:** THE PHOENIX
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Optical Character Recognition (OCR), Automation of Tests, Cloud Computing, Cloud Storage, Continuous Integration, Data Architecture, Data Governance, Data Systems, Identity and Access Management, Information Extraction, NoSQL, Systems Integration, Unstructured Data, Workflow Management Systems, File Transfer Protocol (FTP), Cloud Platform System, Data Classification, Snowflake, Grafana, Git Flow, Kubernetes, Data Lineage, Deployment Automation, Cloudwatch, Data Pipelines
- **Published:** October 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/69315577-6785-4892-a29e-eff0d4d06547/lead-data-engineer

## About the Role

* Minimum of 5+ years in data engineering or software engineering roles with progressive responsibilities.
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 * Proven experience with cloud-based data platforms, including Snowflake, AWS cloud infrastructure, and data orchestration tools such as Airflow/Astronomer.
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 * Strong expertise in designing and implementing data architectures, including dimensional and medallion models.
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 * Hands-on experience migrating and maintaining production workflows in orchestration platforms.
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 * Deep understanding of cloud compute environments, including Kubernetes, containers, schedulers, workers, and autoscaling architectures.
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 * Proficiency in AWS services such as S3, IAM, EKS/ECS, Lambda, Secrets Manager, KMS, and CloudWatch for security, storage, and monitoring.
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 * Skilled in integrating complex data sources and systems, including APIs, SFTP, relational and NoSQL databases, cloud storage, and file-based workflows.
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 * Experience processing semi-structured and unstructured data, including OCR, document extraction, and image processing.
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 * Strong background in implementing data quality controls, automated testing, data lineage, and observability tools.
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 * Knowledge of data governance principles, access controls, data classification, retention policies, and audit requirements.
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 * Experience with CI/CD pipelines, Git workflows, and automated deployment practices for data solutions and infrastructure.
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 * Excellent troubleshooting skills across cloud infrastructure, data pipelines, application code, and security permissions.
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 * Ability to lead technical initiatives and communicate effectively with both technical teams and business stakeholders.

## Description

The Lead Data Engineer will own the design, development, and maintenance of robust data architecture and pipelines leveraging cloud-based technologies, supporting strategic analytics, AI/ML initiatives, and data governance initiatives across the organization's enterprise-scale environment. Collaborating with cross-functional teams, this individual will ensure high-quality, secure, and performant data solutions that enable decision-making and operational excellence.