Data Architect, Databricks

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Oversee data architecture transformations and/or migrations to contemporary cloud solutions, guaranteeing robustness and scalability.

• Architect and execute Virtual Cloud solutions, encompassing virtual networks, network routing, and subnets.

• Develop efficient and scalable ETL/ELT pipelines for data processing and integration across diverse systems utilizing APIs and data integration tools.

• Create scalable and high-performance data models and databases, including Medallion Data Warehouse architecture, Data Lakehouses, dimensional modeling, Star schemas, and Snowflake schemas.

• Manage one or multiple data projects, taking responsibility for end-to-end execution and results.

• Lead cross-functional teams, offering technical direction and ensuring adherence to best practices.

• Collaborate with clients and stakeholders to grasp business objectives and provide customized technical solutions.

• Ensure that solutions adhere to standards for quality, performance, cost-effectiveness, and access policy management.

• Remain updated on emerging industry trends and technologies, incorporating them into client solutions.

⛳️ Requirements

• Advanced or expert-level proficiency with Databricks, including Delta Lake, Lakehouse architecture, and data engineering workloads.

• Extensive experience with SQL and data modeling, specifically with Star and Snowflake schemas and dimensional modeling.

• Significant experience in designing and implementing ETL/ELT pipelines and data integration solutions.

• Proficient in Apache Spark / PySpark and large-scale data processing.

• Familiarity with at least one major cloud platform (AWS, Azure, or GCP) and cloud-based data solutions.

• Experience in data migration and modernization projects involving Databricks or other modern cloud data platforms.

• Knowledge of data integration and transformation tools such as dbt, Fivetran, Azure Data Factory, AWS Glue, Matillion, or similar.

• Understanding of DataOps, CI/CD, infrastructure as code, and automation practices for data platforms.

• Familiarity with Agile/Scrum methodologies.

• Strong technical leadership skills with the ability to guide Data Engineers and other technical teams.

• Excellent communication abilities and capacity to work effectively with clients, technical teams, and business stakeholders.

• Capability to translate business requirements into scalable and practical data architecture solutions.

• Experience collaborating with distributed teams and clients.

🏝️ Benefits

• Comprehensive health, dental, and vision insurance.

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and career advancement.

• Flexible work hours and remote work options.

• Generous paid time off and holiday leave.