Master Data Engineer - Banking

StaffRight Associates is recruiting for a Master Data Engineer. In this role, you will serve as a vital catalyst within a premier organization. The mission is to decouple systemic friction from analytical progress, allowing the firm's leadership to maintain a singular focus on the acceleration of Cloud-Native Data Lakes and Real-Time Streaming Pipelines. You will be tasked with the sophisticated management of Master Data Management (MDM) Systems and Enterprise ETL/ELT Workflows, transforming abstract organizational needs into formalized, actionable results., * Orchestrate Systemic Workflows: Formalize and execute complex protocols, serverless architecture patterns, and high-stakes technical workflows using AWS Glue, Lambda, and Python to ensure continuous operational flow for the data ecosystem.

• Synthesize Complex Data: Conduct ad hoc technical research and integration efforts with third-party APIs and external data sources, distilling multifaceted information into coherent dimensional models that support strategic, cross-functional decision-making.
• Optimize Operational Frameworks: Validate, process, and optimize intricate documentation, architecture diagrams, and CI/CD / Infrastructure as Code (IaC) standards with meticulous attention to detail and systemic accuracy.
• Engineer Multi-Project Solutions: Independently manage a diverse portfolio of concurrent data store objectives (Snowflake, Redshift, DynamoDB, Athena), applying a proactive Goal-Execution-Mapping (GEM) approach to troubleshoot data quality issues and solve emergent pipeline bottlenecks.
• Facilitate Elite Communication: Serve as a discreet and articulate interface between the technical DevOps/engineering committees and internal/external stakeholders, maintaining the highest standards of professional integrity while mentoring team members on modern data engineering innovations.

• Architectural Philosophy: A mindset rooted in efficiency and resilience, with the ability to design secure, cost-effective, and scalable cloud-native architectures within a high-pressure, hybrid or remote environment.
• Resourceful Problem-Solving: A proven track record of autonomous execution, demonstrating the ability to perform root-cause analysis and anticipate systemic pipeline failures before they impact the broader analytical workflow.
• Communication Precision: Exceptional interpersonal skills characterized by clarity, discretion, and the ability to interact with elite engineering minds, data scientists, and business leadership.
• Functional Versatility: A generalist mindset capable of pivoting between rigorous backend Python programming, complex SQL optimization across diverse OLTP/OLAP stores, and technical mentoring in emerging AI-assisted development tools., * Educational Foundation: A Bachelor's or advanced degree is preferred, ideally within Computer Science, Information Systems, Analytics, or a related STEM discipline that provides a foundation for understanding enterprise-scale data infrastructure.
• Domain Expertise: 5+ years of hands-on experience in data architecture and engineering, with prior professional engagement building production-grade data pipelines within high-performance or advanced cloud-computing environments.
• Quantitative Literacy: Comfort with the mathematical, structural, and operational rigor inherent in a firm focused on high-speed data processing, complex query execution, and multi-layered data governance frameworks.

***Candidates must be currently authorized to work in the United States on a full-time, permanent basis. StaffRight Associates and our clients do not provide visa sponsorship for this position. This is a 6-month, W2 ''''''''Contract-to-hire'''''''' position and will be remote but access to Charlotte, NC., StaffRight Associates is seeking an elite professional to join the Data Architecture & Analytics team at a world-class firm dedicated to the advancement of computational excellence. This role demands a candidate who possesses the intellectual pedigree required to navigate the complex challenges of a research-intensive environment. By bridging specialized technical awareness with proactive problem-solving, the successful candidate will ensure the structural alignment of the firm's strategic mission with its technical execution.