Senior Data, Platform & Solutions Engineer

Sur; Argentina; Presencial; ARS 129.463.000 - 175.155.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

PTO: 15 days annually

Holidays: Local or US

Descripción de la vacante

Sur is seeking a highly experienced Senior Data Engineer to own end-to-end data delivery for client engagements in the cloud. You will design architectures across ingestion, compute, storage, analytics, and BI, and work hands-on on Snowflake, Databricks, BigQuery, or Redshift.

You will lead technical discussions with executives to translate requirements into scalable data platforms. You will manage multiple projects, produce client-facing documentation, and collaborate with software and AI

Formación

• 5+ years of professional data engineering experience with senior ownership
• Advanced SQL skills
• Experience with Snowflake, Databricks, BigQuery, or Redshift (multi-cloud preferred)
• Strong data modeling and architecture understanding
• Hands-on cloud experience across AWS, GCP, or Azure
• Excellent spoken and written English
• Strong client-facing communication skills and ability to lead technical discussions
• Curiosity about AI and its impact on data infrastructure

Responsabilidades

• Own the 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 them into technical solutions
• Design modern data architectures spanning ingestion, transformation, compute, storage, analytics, and BI layers
• Make informed architecture trade-offs based on cost, scalability, and maintainability
• Build and maintain production data pipelines, transformations, models, and platform components
• Work hands-on with data platforms like Snowflake, Databricks, BigQuery, and/or Redshift
• Build and maintain transformation workflows using SQL and dbt
• Collaborate across AWS, GCP, Azure environments with infrastructure configuration and access controls
• Take end-to-end ownership and manage multiple projects with clear priorities and timelines
• Produce client-facing documentation, presentations, and project updates
• Collaborate with software and AI engineers on a proprietary platform deployed in customer clouds
• Contribute code and platform improvements when needed
• Leverage AI tools to accelerate engineering, research, and development while understanding core trade-offs

Conocimientos

Advanced SQL

Snowflake

Databricks

BigQuery

Redshift

Cloud architecture

English

Client-facing

Herramientas

dbt

Descripción del empleo

We are looking for a highly experienced, hands-on Senior Data Engineer who can combine deep data engineering expertise with data architecture, cloud platform ownership, and direct client engagement.

This is not a traditional back-office data engineering role where you own one pipeline or a narrow piece of a larger platform. You will work directly with clients to understand their needs, recommend the right technical approach, design the architecture, build the solution, and communicate the results.

You will typically own multiple client projects and operate as both the technical expert and a trusted advisor. The right person is comfortable running a client meeting, discussing architectural trade-offs with technical and business stakeholders, turning those decisions into working solutions, and owning delivery from beginning to end.

We are especially interested in engineers who have worked in consulting, startups, or other environments where they have had broad ownership rather than operating within one narrow function of a large data organization.

Responsibilities

• Own the technical delivery of data projects from initial client conversations through architecture, implementation, and ongoing delivery
• Lead client discussions to understand business and technical requirements, ask the right questions, and translate ambiguous problems into clear technical solutions
• Design modern data architectures spanning ingestion, transformation, compute, storage, analytics, and BI layers
• Make informed architecture recommendations based on technical trade-offs, cost, scalability, maintainability, and the client's specific requirements
• Build and maintain production data pipelines, transformations, models, and platform components
• Work hands-on with modern data platforms such as Snowflake, Databricks, BigQuery, and/or Redshift
• Build and maintain transformation workflows using SQL and modern data tooling such as dbt
• Work directly within AWS, GCP, and/or Azure environments, including platform deployment, infrastructure configuration, access and permissioning, and related cloud resources
• Take end-to-end ownership rather than relying on separate infrastructure, architecture, or project-management teams to drive delivery
• Manage multiple client projects simultaneously while maintaining clear priorities, timelines, documentation, and follow-up
• Produce polished client-facing documentation, presentations, meeting notes, and project updates
• Collaborate with software and AI engineers on a proprietary platform deployed into customer cloud environments
• Contribute code and improvements to platform capabilities when needed
• Use AI tools extensively to accelerate engineering, research, analysis, and development while maintaining a strong understanding of the underlying technical decisions

Requirements

• 5+ years of professional, hands-on data engineering experience, ideally with significant senior-level ownership
• Advanced SQL skills
• Strong hands‑on experience with at least one modern cloud data platform such as Snowflake, Databricks, BigQuery, or Redshift; experience across multiple platforms is highly valued
• Strong understanding of data architecture and data modeling principles, including common 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 simply 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 clearly explaining the reasoning and trade‑offs behind those decisions
• Excellent spoken and written English
• Strong client‑facing or stakeholder‑facing communication skills, with the confidence to lead technical discussions with senior stakeholders and executives
• Ability to communicate complex technical topics concisely and focus conversations on what matters
• Curiosity about AI and a strong understanding of how AI is changing modern data infrastructure, analytics, and data consumption

Preferred

• Significant hands‑on experience with dbt
• Experience working as a Data Engineering Consultant, Data Consultant, Data Architect, Solutions Architect, or similar client‑facing technical role
• Experience working in startups, consultancies, or other lean environments requiring broad technical ownership
• Experience owning or managing a complete data or analytics platform
• Experience across two or more of Snowflake, Databricks, BigQuery, and Redshift
• Strong understanding of cloud infrastructure, platform deployment, access management, and infrastructure cost considerations
• Previous software engineering experience before moving into data engineering
• Familiarity with emerging AI/data infrastructure concepts, including MCP and AI‑oriented data workflows

Benefits

• Salary: $100K USD annually
• PTO: 15 days
• Holidays: Local or US holidays