Data Architect (Databricks + Python) - Remote Work | REF#298172
At BairesDev, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
As a Data Architect, you will design and implement enterprise-scale data platforms leveraging Databricks and lakehouse architecture. You will align business objectives with technical infrastructure, ensuring high scalability and robust data modeling across AWS environments.
What You'll Do
Apply now!
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
As a Data Architect, you will design and implement enterprise-scale data platforms leveraging Databricks and lakehouse architecture. You will align business objectives with technical infrastructure, ensuring high scalability and robust data modeling across AWS environments.
What You'll Do
- Design and oversee enterprise data models for lakehouse architectures using Databricks and PySpark.
- Establish data governance frameworks and standards to ensure data quality, consistency, and regulatory compliance.
- Architect scalable data pipelines and storage solutions that integrate diverse sources into a unified platform.
- Collaborate with stakeholders to define reference architectures and best practices for data management.
- Optimize data platform performance and costs through efficient resource utilization and architectural improvements.
- 8+ years of experience in Data Architecture or Data Engineering.
- Proven expertise in designing enterprise data platforms using Databricks and lakehouse architecture.
- Proficiency in Python and PySpark for large-scale data processing and transformation.
- Hands-on experience with cloud infrastructure, specifically AWS data services.
- Strong background in defining data governance frameworks and domain-aligned data models.
- Advanced proficiency in English.
- 100% remote work (from anywhere).
- Excellent compensation in USD or your local currency if preferred
- Hardware and software setup for you to work from home.
- Flexible hours: create your own schedule.
- Paid parental leaves, vacations, and national holidays.
- Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
- Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
Apply now!
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