Descripción del puesto

We are seeking a highly skilled Senior Data Architectwith expertise in Databricks to design and maintain enterprise-level data models, ensure data integrity, and support data-driven decision-making processes by collaborating with cross-functional teams.

Key Responsibilities:

Data Modeling & Design:

• Develop and maintain conceptual, logical, and physical data models.
• Implement best practices for scalable, efficient, and flexible data models.
• Ensure data consistency, quality, and accuracy across enterprise systems.

Data Integration & Management:

• Design and manage data pipelines within Databricks and other cloud platforms.
• Collaborate with ETL developers and data engineers to implement data integration strategies.

Collaboration & Business Engagement:

• Work closely with business stakeholders, data architects, and analysts to understand business requirements and translate them into technical solutions.
• Support data governance and data quality initiatives.

Performance Optimization:

• Conduct data model performance tuning and optimization.
• Establish and enforce data modeling standards and best practices.

Team Leadership & Mentoring:

• Lead and mentor data modelers and analysts on best practices in data architecture and modeling.
• Conduct knowledge-sharing sessions and contribute to team development.

Requisitos

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
• 7+ years of experience in data modeling and database design.
• Expertise in Databricks and cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
• Strong proficiency in SQL, data modeling tools, and ETL processes.
• Familiarity with programming languages like Python or Scala.
• Experience in data governance, metadata management, and master data management.
• Advanced English.

Preferred Qualifications:

• Advanced certifications in Databricks or related technologies.
• Experience with large-scale data warehouse and big data solutions.
• Knowledge of industry best practices in data architecture and data management.
• Experience in an Agile development environment.

Beneficios

- Fulltime and long term position

- USD Salary

- Paid Time Off

- Hardware when needed

- Corporate gifts on special dates