Lead Data Engineer - Charlotte, NC

Job summary

As a Data Engineer, you will play a pivotal role in designing and managing company's modern data infrastructure. You will help shape and execute the data strategy that enables trusted, scalable, and high-performing solutions across the organization.

Responsibilities

• Define, document, and manage enterprise data strategy, including schema design, SLAs, data contracts, security, and compliance.
• Promote best practices in data architecture and engineering, particularly within the wealth management and financial services sectors.
• Lead and grow a high-impact data engineering team, focusing on platform performance, CI/CD, and operational excellence.
• Own the roadmap for continuous improvements, including Azure/Microsoft Fabric modernization, compliance, and cost optimization initiatives.
• Ensure platform reliability through automated testing for performance, security, and scalability.
• Collaborate with analytics, business, and technology teams to align on architecture, governance, and delivery timelines.
• Manage and optimize ingestion, transformation, and curation of large-scale structured and unstructured data.
• Develop reusable data components and pipelines for enterprise reporting, BI, and advanced analytics.
• Implement DataOps practices, including metadata management, monitoring, alerting, and data quality frameworks.
• Advocate for scalable modeling approaches such as semantic layer design and Data Vault 2.0 methodology.

Job description