Top Senior Level Data Engineering Jobs in Charlotte, NC

The role involves being a subject matter expert in Log Management, executing competitive strategies against legacy tools, architecting log-ingestion frameworks, and advocating for log consumption optimization with customers.

This role involves leading data architecture strategies, collaborating with stakeholders, and implementing advanced data technologies to drive business growth at PwC.

The role involves implementing mortgage prepayment models into a financial analytics library using C++, requiring collaboration across teams and adherence to software engineering practices.

The Finance Systems Architect is responsible for designing and optimizing finance technology solutions, ensuring alignment with business needs, and leading initiatives for system integrations and process automation.

Lead client-facing data solutioning and pre-sales efforts for Consumer verticals, design executable data architectures, support pursuit to close, and provide ~50% hands-on delivery and architectural oversight while ensuring information security and data privacy compliance.

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.

As a Snowflake Data Architect, you will provide ETL support and specialize in Snowflake management, ensuring performance, governance, and optimization of data infrastructures.

As a Data Architect at RapidScale, you'll lead data platform engagements, ensuring delivery quality, managing teams, and designing cloud architectures while supporting ML implementations and client interactions.

As a Staff Analytics Engineer, you'll lead analytics architecture, ensure data quality, collaborate with stakeholders, and drive AI-powered data insights for business decision-making.