LinTech Global is looking for a Senior Data Engineer to lead the building of a modern enterprise data platform within Microsoft Azure to power data-driven decision-making and modernization goals for a federal program.
Requirements
- Deep expertise in Azure Data Factory, Synapse, Data Lake Gen2, and Microsoft Purview.
- Strong programming skills in Python and SQL with experience designing ETL/ELT frameworks.
- Proven experience creating reusable data architecture frameworks and automation pipelines.
- Familiarity with CI/CD, GitHub Actions, and DevOps for data workloads.
- Understanding of data governance, metadata management, and security best practices.
- 5+ years with Azure cloud data services.
Responsibilities
- Lead the architecture and buildout of end-to-end Azure data pipelines and integration frameworks using Data Factory, Synapse, and Data Lake Gen2.
- Design reusable ingestion and transformation patterns that enable data quality, lineage, and governance using Microsoft Purview.
- Develop monitoring, logging, and alerting frameworks to ensure operational reliability, cost optimization, and proactive issue resolution.
- Define and enforce engineering standards for scalability, performance, and DevOps automation.
- Establish and manage version control, CI/CD pipelines, and DevOps workflows in GitHub.
- Support advanced analytics enablement and reporting integrations using Power BI and Databricks.
Other
- Lead role in building a modern enterprise data platform
- Hands-on leadership opportunity
- Collaborate with architects, analysts, and business stakeholders
- Mentor and guide other engineers
- Ability to pass a background investigation to acquire a Public Trust Security Clearance is Required
