Senior Data Engineer - Enterprise B2B Marketplace

ABOUT TRUELOGIC At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference. By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future. OUR CLIENT Our client operates the premier technology-driven B2B wholesale marketplace for a rapidly expanding compliance-driven industry, serving thousands of brands and retailers across North America. Managing over $4B+ in annual transaction volume—representing more than 40% of its market's domestic wholesale commerce—their platform streamlines complex logistics, order management, and multi-territory client relationships. They are expanding their core data team to modernize enterprise analytics infrastructure and scale the platform that drives operational and financial insights. JOB SUMMARY The Senior Data Engineer is a high-influence technical leadership role responsible for steering the architecture, evolution, and scalability of the enterprise data platform. Partnering cross-functionally with Engineering, Finance, Product, and Operations, you will establish the technical strategy for how data is modeled, orchestrated, and consumed company-wide. This role demands a hands-on technical driver who can build highly resilient serverless data pipelines, modernize legacy ingestion processes, and institute strict data governance and observability standards across a modern cloud-native data stack. RESPONSIBILITIES - Data Platform Evolution: Guide the foundational architecture, scaling strategies, and long-term roadmap of the enterprise data platform. - Pipeline Engineering: Design and lead the development of highly scalable data pipelines using Airflow, dbt, and Python. - Modern Stack Integration: Build and maintain high-throughput integrations across core modern data stack tools, including Fivetran, Redshift, and Sigma. - Serverless Architecture: Develop and optimize serverless data services and ingestion layers leveraging AWS infrastructure (e.g., AWS Lambda). - Advanced Data Modeling: Partner with cross-functional stakeholders to define reliable, performant data warehouse architectures and analytical datasets. - Observability & Reliability: Implement automated testing, rigorous monitoring frameworks, and tracing to maximize pipeline reliability and minimize operational downtime. - Technical Leadership & Governance: Mentor data engineers and analysts on engineering best practices, while driving continuous improvements in data governance and documentation. QUALIFICATIONS AND JOB REQUIREMENTS Must-Have Technical Expectations & Core Skills: - Professional Longevity: 8+ years of proven experience designing and building production-grade data pipelines and large-scale analytics infrastructure. - Transformation & Orchestration: Strong, expert-level background utilizing dbt and Apache Airflow (or highly equivalent orchestration and transformation frameworks). - Data Warehousing & Ecosystems: Extensive experience with modern data warehouse architecture, specifically scaling and optimizing platforms like Amazon Redshift, alongside tools like Fivetran and Sigma. - Engineering Stack: Advanced Python programming capabilities for complex pipeline creation, automation scripts, and serverless data processing. - Data Mastery: Expert-level SQL skills with deep e