Principal Data Engineer

Principal Data Engineer - Ecommerce Company (Colombia) Join to apply for the Principal Data Engineer - Ecommerce Company (Colombia) role at Truelogic Software . 1 day ago Be among the first 25 applicants. Get AI-powered advice on this job and more exclusive features. 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 A global consumer-focused technology organization operating at the intersection of design, creativity, and digital commerce. The company empowers independent creators worldwide and delivers premium consumer products across multiple high-growth markets. Job Summary We’re looking for a senior data leader who operates at a director level but prefers to stay deeply hands‑on. You will own the entire data ecosystem — warehouse, pipelines, modeling, semantic layer, BI foundations, and internal data applications. This role shapes the company’s data strategy while building high‑quality, scalable systems that power decision‑making across every team. Responsibilities Own the end‑to‑end data ecosystem, from raw data ingestion to curated, trusted datasets powering analytics and business intelligence. Architect, implement, and scale data pipelines and warehouse infrastructure to support rapid growth and evolving data requirements. Lead the design, development, and maintenance of core Looker/LookML models, ensuring clarity, reliability, and performance of business metrics. Define and evolve the semantic layer, including source‑of‑truth dimensions, measures, and business logic used across the organization. Partner with engineering, analytics, and business stakeholders to translate strategic business goals into technical data architecture and modeling decisions. Build and enhance internal data applications, services, and tools supporting analytics, reporting, and operational workflows. Implement rigorous data quality, governance, monitoring, and alerting across all layers of the data stack. Establish standards and best practices for data modeling, ETL/ELT orchestration, and business intelligence development. Act as a technical mentor and architectural influencer across engineering teams, guiding decisions without formal personnel management. Qualifications and Job Requirements Senior technical leader who prefers designing and shipping impactful systems rather than managing teams. Strong passion for data modeling, semantic layers, and building clean, consistent, high‑performance structures. Ability to switch seamlessly between infrastructure, data modeling, and BI layers. Motivation to design resilient, scalable data systems aligned with business growth. Excellent communication skills with the ability to translate complex technical concepts into business clarity. Belief that data must be accessible, understandable, and actionable across the company. 8+ years of experience in data infrastructure, analytics engineering, or backend engineering. Deep hands‑on experience with modern data warehouses (Snowflake, Amazon Redshift, or similar). Expert‑level SQL skills and strong proficiency with Python. Proven experience owning and scaling Looker LookML and semantic layers. Experience designing and implementing ETL/ELT pipelines and orchestration workflows (e.g., Apache Airflow or similar). Strong background in data modeling, data architecture, and performance optimization. Experience with distributed systems and cloud platforms (AWS preferred). Demonstrated ability to set technical direction, influence architecture, and collaborate across engineering and business teams. What we offer 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection. Highly Competitive USD Pay: Earn an excellent, market‑leading compensation in USD, that goes beyond typical market offerings. Paid Time Off: We value your well‑being. Our paid time off policies ensure you have the chance to unwind and recharge when needed. Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock. Work with Top American Companies: Grow your expertise working on innovative, high‑impact projects with industry‑leading U.S. Companies. Why You’ll Like Working Here A Culture That Values You: We prioritize well‑being and work‑life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally. Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America. Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field. Location: Bogota, D.C., Capital District, Colombia Apply now #J-18808-Ljbffr