Senior Data Architect, English required

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

📋 Description

• Define and execute the organization's data architecture, models, and pipelines.

• Design integration solutions between internal platforms and external systems (Salesforce, customer experience platforms, etc.).

• Establish benchmarks for data quality, metadata, lineage, and classification.

• Collaborate with engineering, security, and compliance teams to ensure alignment on privacy, retention, and access control policies.

• Lead the selection and implementation of data platforms.

• Promote the adoption of data best practices throughout teams and assist in data governance initiatives.

• Support data risk assessments, vendor onboarding, and audit preparedness from a technical perspective.

• Maintain the performance of data platforms and architecture.

• Assist with existing data workflows and integrations.

• Address data-related incidents and ensure data reliability.

• Enhance data models to facilitate business growth and analytics.

• Optimize data pipelines, quality, and availability.

• Expand self-service data capabilities for stakeholders.

• Define future-state architecture to foster digital transformation.

• Lead the data strategy to support AI/ML, automation, and advanced analytics.

• Integrate data across new platforms, partners, or business models.

⛳️ Requirements

• 8+ years of experience in data architecture, data engineering, or enterprise data management.

• Proven ability to communicate effectively with clients and cross-functional stakeholders.

• Extensive hands-on experience with modern cloud data platforms (Snowflake).

• Strong practical experience in AWS data engineering services (e.g., S3, Glue, Redshift, Lambda).

• Familiarity with privacy and compliance frameworks such as SOC 2, HIPAA, GDPR, and PCI DSS.

• Solid understanding of data modeling (OLTP/OLAP), APIs, and system integration.

• Demonstrated experience in owning or leading enterprise data architecture (beyond pipeline development or BI).

• Leadership skills within a cross-functional setting.

• Experience supporting analytics, AI/ML applications, and large-scale data warehousing.

• Advanced proficiency in Python for data engineering and automation.

• Experience with data governance concepts (quality, lineage, metadata, classification).

• Bachelor’s degree in Cyber Security, Computer Science, or a related field (or equivalent experience).

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health, dental, and vision insurance.

• Flexible working hours and remote work options.

• Opportunities for professional development and continuous learning.

• Supportive team environment with a focus on innovation.