***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.
Financial work experience highly desirable!
Preface
The architectural integrity of global investment and technology research relies on the seamless convergence of Enterprise Data Management and rigorous computational execution. Within this domain, where the synthesis of complex data and high-performance systems is the primary objective, the necessity for first-principles mastery extends beyond the laboratory and into the operational nucleus of the organization.
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.
The Mission
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.
This role requires a high degree of technical literacy to effectively support a team leveraging proprietary architectures and sophisticated algorithms to revolutionize Scalable Business Intelligence and Enterprise-Wide Analytics.
Core Technical Objectives
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.
Candidate DNA
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.
Academic & Research Pedigree
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.
Partnering with StaffRight Associates
At StaffRight Associates, we operate at the intersection of technical synthesis and structural alignment. We don’t just match resumes to keywords; we map your engineering DNA, your architectural philosophy, and your approach to system resilience to the most sophisticated STEM challenges in the industry.
When you partner with us, you are engaging with an elite team that speaks your language and understands the nuances of high-stakes innovation. We are committed to placing elite talent where their technical contributions drive systemic impact.
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