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About Inallmedia.com
Inallmedia.com is a general 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.
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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.
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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.
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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.
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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.
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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.
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📌 Data Engineer (Architect) - 1895 (Estado de México)
🏢 In All Media
📍 Estado de México