Data Architect

Summary

Join Able as a Data Architect and shape the large-scale data architecture vision and roadmap across client engagements. You will establish data governance policies, lead data strategy decisions, and guide organizations in data modernization initiatives. This role involves partnering with clients, translating complex architectures into clear value propositions, and building trusted advisor relationships. You will design and implement data architectures, develop data integration patterns, and create automated frameworks for data quality. The position requires 10+ years of data engineering experience, with at least 5 years focused on healthcare data systems, and expertise in various technologies and compliance frameworks. This is a 100% remote position within LatAm.

Requirements

• 10+ years of data engineering experience, with at least 5 years focused on healthcare data systems
• Extensive experience designing and implementing enterprise-scale data architectures, particularly federated data models across multiple domains and systems
• Demonstrate deep understanding and practical implementation experience of regulatory compliance frameworks, including HIPAA, HITRUST, and GDPR, with the ability to apply these principles to general data security and governance
• Experience with healthcare-specific standards (HL7, FHIR, DICOM) while also maintaining breadth in other industry-standard data formats and protocols
• Proven expertise in building and maintaining large-scale data pipelines using modern data processing frameworks (Spark, Hadoop) and enterprise ETL/ELT tools (Informatica, Talend, or similar)
• Proficient in multiple programming languages including Python and SQL, with strong experience in both SQL and NoSQL databases at enterprise scale
• Extensive experience with major cloud platforms (AWS/Azure/GCP) and their data services, including specific expertise with healthcare-related services and data engineering solutions
• Demonstrate strong consulting experience, including stakeholder management, technical advisory, and ability to lead architectural discussions across various business domains
• Must be able to design and implement data quality frameworks, validation processes, and monitoring systems across diverse data ecosystems
• Strong leadership abilities with experience mentoring teams and driving technical strategy across multiple projects simultaneously
• Experience with modern data catalog tools, metadata management systems, and data lineage tracking
• Strong verbal and written communication skills in English are a requirement

Responsibilities

• Shape large-scale data architecture vision and roadmap across client engagements
• Establish data governance policies, security frameworks, and regulatory compliance standards
• Lead data strategy decisions around platform selection, integration patterns, and scaling approaches
• Guide organizations in data modernization initiatives and federated data model adoption
• Lead technical discovery sessions to understand client's data landscape and business requirements
• Translate complex data architectures into clear value propositions for diverse stakeholders
• Build trusted advisor relationships to guide data strategy and technology decisions
• Align data architecture recommendations with client's business objectives and growth plans
• Design and implement data architectures, including data lakes, warehouses, and federated systems
• Develop data integration patterns for real-time and batch processing across diverse data sources
• Create automated frameworks for data quality monitoring, validation, and lineage tracking
• Build reference architectures for common data patterns, including ETL/ELT pipelines and data mesh implementations
• Enable team success through knowledge sharing, mentoring, and documentation of best practices and compliance requirements
• Design and validate data architecture approaches through targeted POCs and pilot implementations
• Develop cost-optimized data solutions that balance performance, compliance, and scalability
• Transform business requirements into practical, production-ready data architectures
• Define and measure success metrics for data implementations and platform migrations

Preferred Qualifications

• A master's degree in Computer Science, Data Engineering, or a related field would be valuable but not required
• Experience with real-time data processing systems and streaming architectures using technologies like Kafka, Kinesis, or similar platforms
• Knowledge of machine learning operations and experience integrating ML models into data pipelines
• Expertise in data mesh architecture and domain-driven design principles for data platforms
• Previous experience in multiple industries beyond healthcare, demonstrating the ability to adapt data architecture principles across different business domains
• Relevant certifications in cloud platforms, data engineering, or healthcare IT systems
• Knowledge of international data privacy regulations and experience implementing compliant systems across different geographical regions
• Background in performance optimization and cost management for large-scale data systems

Benefits

This position is 100% remote within LatAm