Senior Data, Platform & Solutions Engineer

Sur Global

. Own technical delivery of data projects from initial client conversations through architecture, implementation, and ongoing delivery .

Posted 9/29/2026full-timeRemote • Brazil, Argentina, Colombia, Costa Rica, Mexico, ChileSenior💰 $100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering with a strong focus on designing and implementing modern data architectures across cloud platforms. Proficient in SQL, data modeling, and managing client relationships while delivering technical solutions.

Highest-signal resume keywords

Data Engineering ExperienceAdvanced SQL SkillsCloud Data Platform ExpertiseData Architecture DesignClient-Facing Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData TransformationData Modeling PrinciplesTechnical Architecture Decision-MakingAI Impact Understanding

Soft Skills

Stakeholder CommunicationTechnical Discussion LeadershipConcise Technical Communication

Tools & Technologies

SnowflakeDatabricksBigQueryRedshiftAWSGCPAzureDbt

Industry Keywords

Data ArchitectureCloud InfrastructureAnalyticsBusiness IntelligenceData Engineering Consultant

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

Own technical delivery of data projects from initial client conversations through architecture, implementation, and ongoing delivery
Lead client discussions to understand business and technical requirements and translate ambiguous problems into technical solutions
Design modern data architectures spanning ingestion, transformation, compute, storage, analytics, and BI layers
Recommend architectures based on technical trade-offs, cost, scalability, maintainability, and client requirements
Build and maintain production data pipelines, transformations, models, and platform components
Work hands-on with Snowflake, Databricks, BigQuery, and/or Redshift
Build and maintain SQL and dbt transformation workflows
Work in AWS, GCP, and/or Azure environments, including deployment, infrastructure configuration, access, permissions, and cloud resources
Take end-to-end ownership of delivery
Manage multiple client projects with clear priorities, timelines, documentation, and follow-up
Produce client-facing documentation, presentations, meeting notes, and project updates
Collaborate with software and AI engineers on a proprietary platform deployed in customer cloud environments
Contribute code and platform improvements
Use AI tools to accelerate engineering, research, analysis, and development while understanding underlying technical decisions

Requirements

What you’ll need

5+ years of professional, hands-on data engineering experience
Advanced SQL skills
Strong hands-on experience with at least one modern cloud data platform such as Snowflake, Databricks, BigQuery, or Redshift
Strong understanding of data architecture and data modeling principles, including design patterns, anti-patterns, and architectural trade-offs
Experience designing data environments across ingestion, compute, storage, transformation, and analytics/BI layers
Hands-on cloud experience with AWS, GCP, and/or Azure beyond consuming cloud-hosted services
Experience deploying or owning data platforms and working with infrastructure configuration, access controls, permissions, compute resources, and cloud architecture
Experience making technical architecture decisions and explaining the reasoning and trade-offs
Excellent spoken and written English
Strong client-facing or stakeholder-facing communication skills, including leading technical discussions with senior stakeholders and executives
Ability to communicate complex technical topics concisely
Curiosity about AI and understanding of AI's impact on modern data infrastructure, analytics, and data consumption
Significant hands-on experience with dbt preferred
Client-facing technical experience as a Data Engineering Consultant, Data Consultant, Data Architect, Solutions Architect, or similar preferred
Startup, consultancy, or lean-environment experience preferred
Experience owning or managing a complete data or analytics platform preferred
Experience across two or more of Snowflake, Databricks, BigQuery, and Redshift preferred
Strong understanding of cloud infrastructure, platform deployment, access management, and infrastructure cost considerations preferred
Previous software engineering experience preferred
Familiarity with MCP and AI-oriented data workflows preferred

Benefits

Comp & perks

15 days PTO
Local or US holidays