Data Architect

Acsys; Argentina; Presencial; ARS 135.892.000 - 226.487.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Connectivity allowance

Discounted Medicus health plan

Birthday day off

15 days vacation

University discounts (UCES/UTN) and Ud

Descripción de la vacante

Acsys, based in Argentina, is seeking a proactive Data Architect to design scalable data platforms for a multinational project. The role focuses on building end-to-end lakehouse architectures and ensuring production-grade pipelines.

You will work with Databricks, Spark and Delta Lake, implement Unity Catalog governance, and manage cloud infrastructure across AWS/Azure/GCP. Strong SQL plus Python or Scala skills are essential, with a focus on cost control and performance tuning.

Formación

• Expertise in end-to-end data architectures with Bronze, Silver, Gold layers.
• Deep understanding of distributed computing and tuning large Spark jobs.
• Knowledge of ACID, schema enforcement, time travel, and Z-ordering in Delta Lake.
• Proven ability to design unified governance models for data and AI assets (RBAC, row/column security, lineage).
• Strong grasp of cloud ecosystems (AWS/Azure/GCP) and IAM basics.
• Fluent in SQL with Python or Scala.
• Cost optimization and performance tuning for Databricks workloads.

Conocimientos

Advanced SQL

Python or Scala

Proactive problem-solving

Team collaboration

Herramientas

Databricks

Apache Spark

Delta Lake

Unity Catalog

AWS

Azure

GCP

Descripción del empleo

At Acsys, we are looking for a proactive, collaborative Data Architect with strong technical skills, based in Argentina. This is an excellent opportunity to work on a global project with a multinational company.

What are we looking for?

• Lakehouse & Medallion Architecture: Expertise in designing end-to-end data architectures (Bronze, Silver, Gold layers) for reliable, production-ready pipelines
• Databricks & Spark Internals: Deep understanding of distributed computing. They must know how to troubleshoot and tune large-scale Spark jobs using caching, partitioning, and broadcast joins
• Delta Lake: Must understand ACID transactions, schema enforcement, time travel, and optimization operations like Z-ordering
• Unity Catalog & Data Governance: Proven ability to design unified governance models for data and AI assets, including role-based access control (RBAC), row/column-level security, and data lineage
• Cloud Infrastructure (AWS, Azure, or GCP): Strong grasp of the native cloud ecosystem they work in (e.g., ADLS/Entra for Azure, S3/IAM for AWS), including Virtual Network (VNet) setups and IAM roles
• Coding Proficiency: Advanced SQL skills and fluency in Python or Scala
• Cost Optimization & Performance Tuning: Ability to monitor DBUs (Databricks Units), right-size serverless and multi-node clusters, and implement best practices for avoiding cloud bill shock
• Competitive salary in USD
• Connectivity allowance
• Discounted Medicus health plan
• Birthday day off
• 15 days of vacation
• Discounts at universities (UCES and UTN) and Udemy (client)
• Training opportunities and more!

If you’d like to join a team that values proactive problem-solving, teamwork, and technical excellence,