Data Engineer (Architect)

🧭 About Inallmedia.com Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. We partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation. Our teams work on high-scale platforms that require strong engineering ownership, business alignment, and measurable product impact. 🚀 Project Overview (Project Outpost) You will join a high-visibility initiative focused on maturing the organization's data landscape. The Outpost project is moving from an "evolving" data environment to a structured, high-performance ecosystem. As a Data Architect , your mission is to solve current structural inconsistencies and define the long-term data strategy. This is not a "maintenance" role; it is an architectural leadership position meant to ensure data is reliable, accessible, and high-quality for both internal operational efficiency and external customer reporting. By improving schema performance and structure, you will directly enable better business decisions and robust application performance. 🔍 Key Responsibilities Define Data Strategy: Architect and implement the long-term data roadmap to transition the organization into a structured, high-performance ecosystem. Schema Design: Design and optimize complex data models for both transactional (operational) and analytical use cases. Performance Tuning: Lead database performance tuning and structural improvements to ensure high-speed query execution and system reliability. Identify Critical Insights: Use analytical intuition to independently identify business-critical data points and define clear analysis goals. Standardization: Establish and enforce organizational naming conventions, data governance practices, and structural consistency across the landscape. Automation: Utilize Python to create automation scripts for data exploration, cleaning, and landscape management. Cross-Functional Collaboration: Partner with Product, Backend Engineering, and Stakeholders to ensure data schemas support both business goals and application UX. 💡 Must-Have Skills Advanced SQL Mastery: Expert-level proficiency in query design, CTEs, window functions, and complex aggregations. Data Modeling: Proven track record of designing scalable schemas for diverse use cases (Transactional vs. Analytical). Optimization Expertise: Deep knowledge of database performance tuning and structural improvements. Functional Python: Proficiency in using Python (loops, functions, dictionaries) for data exploration and automation tasks. Strategic Intuition: The ability to navigate ambiguity and independently identify how data structure impacts business outcomes. Self-Direction: Proven ability to manage complex data landscapes and architectural shifts without constant supervision. Fluent English: Strong communication skills for daily collaboration with international stakeholders. 🌟 Nice-to-Have Skills Cloud Warehousing: Specific experience with Snowflake or similar modern cloud data warehouse environments. Governance: Experience implementing formal data governance frameworks and metadata management. ETL/ELT Optimization: Hands-on experience optimizing specific data transformation pipelines to reduce latency. Modern Data Stack: Familiarity with tools like dbt or Airflow for managing the data lifecycle. LATAM Experience: Experience working in remote, distributed teams across Latin American time zones. 🌐 Time Zone & Collaboration The role requires collaboration with teams aligned to Central Time (CT), USA . Candidates must overlap at least 4–5 hours daily with US-based stakeholders to ensure seamless architectural alignment. #LI