🧭 **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