Senior Data Architect

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

📋 Description

• Establish and uphold standards for enterprise data architecture across structured, semi-structured, and unstructured data domains.

• Leverage AI-assisted modeling tools to expedite data model design and ensure alignment with business requirements.

• Architect and oversee the organization's cloud data lake, data warehouse, and lakehouse infrastructures on AWS.

• Create standards for data ontology, taxonomy, and semantic layers that empower AI systems to accurately interpret organizational data.

• Assess emerging data architecture trends and formulate a roadmap for their implementation across Stellus Rx.

• Develop scalable data models and ELT/ETL pipeline architectures that facilitate analytics and AI/ML workloads.

• Establish standards for data partitioning, indexing, caching, and storage optimization.

• Collaborate with Data Engineers to convert architectural blueprints into production-ready pipelines.

• Define and implement data governance frameworks, data quality standards, and data contracts across the organization.

• Design and execute a master data management (MDM) strategy.

⛳️ Requirements

• Over 7 years of experience in data architecture, data engineering, or a closely related discipline.

• More than 3 years of experience in designing enterprise-scale data platforms within cloud environments (AWS is strongly preferred).

• Proven hands-on experience utilizing AI tools to enhance data architecture design, automate data quality, or support AI/ML workloads.

• Extensive expertise in data modeling methodologies including dimensional modeling, data vault, and lakehouse patterns.

• Solid knowledge of ELT/ETL pipeline architecture and workflow orchestration (Airflow or similar tools).

• Familiarity with cloud data platforms such as AWS Redshift, S3, Glue, Athena, or their equivalents.

• Proficient in SQL and at least one scripting language (Python is preferred).

• Experience with both relational and NoSQL databases; knowledge of vector databases is a plus.

• Strong comprehension of data governance, data quality frameworks, and MDM principles.

• Understanding of healthcare data compliance standards (HIPAA, SOC 2).

• Exceptional communication skills with the ability to articulate complex architectural ideas to both technical and non-technical audiences.

• Bachelor's or advanced degree in Computer Science, Information Systems, Statistics, or a related quantitative area.

• High proficiency in English, both written and spoken.

🏝️ Benefits

• Fully Remote

• Professional development opportunities