Contract duration: 6 months with possible extension.
Salary: USD - Open as per expectations and experience
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Role Overview
We are seeking an experienced Snowflake Data Architect to lead the design, implementation, and optimization of scalable cloud-based data platforms. The adecuado candidate will possess deep expertise in Snowflake, modern data architectures, cloud ecosystems, and enterprise data transformation programs.
The candidate will work closely with business stakeholders, data engineering teams, analytics teams, and client leadership to architect robust data solutions that support advanced analytics, reporting, and AI/ML initiatives.
Key Responsibilities Design and implement enterprise-scale data platforms using Snowflake.
Define end-to-end cloud data architecture, including ingestion, transformation, storage, security, and consumption layers.
Develop scalable data models supporting analytics, BI, and machine learning workloads.
Architect ELT/ETL solutions using technologies such as DBT, Matillion, Informatica, Azure Data Factory, or similar tools.
Optimize Snowflake performance through clustering, partitioning strategies, workload management, and cost optimization.
Establish data governance, metadata management, lineage, and data quality frameworks.
Lead migration programs from traditional data warehouses (Teradata, Oracle, SQL Server, Netezza, etc.) to Snowflake.




Collaborate with solution architects, product owners, and engineering teams to define future-state architecture.
Ensure adherence to security, compliance, and regulatory requirements.
Provide technical leadership, mentoring, and architecture guidance to engineering teams.
Conduct architecture reviews, design workshops, and client presentations. Required Qualifications Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
10+ years of experience in Data Engineering, Data Warehousing, or Data Architecture.
5+ years of hands-on experience with Snowflake.
Strong expertise in dimensional modeling, Data Vault, and enterprise data architecture.
Extensive experience with SQL and performance tuning.
Experience designing large-scale data lakes and data warehouse solutions.
Strong understanding of CI/CD, Dev Ops, and Data Ops practices.
Excellent stakeholder management and client-facing communication skills. Technical Skills
Must Have Snowflake Architecture & Administration
Advanced SQL
Data Modeling (Star Schema, Snowflake Schema, Data Vault)
DBT
Python
Git, CI/CD Cloud Platforms (One or More) AWS (S3, Glue, Lambda, Redshift) Nice to Have Databricks
Kafka
Airflow
Power BI
Tableau Preferred Certifications Snow Pro Advanced Architect
Microsoft Azure Solutions Architect Expert #J-18808-Ljbffr

📌 Snowflake Data Architect (Ciudad de México)
🏢 Natsoft
📍 Ciudad de México