Data Architect

Summary

Join Abarca, a healthcare revolutionizing company, as their Data Architect! You will design, implement, and oversee an enterprise-wide data architecture aligned with company goals. Collaborate with internal teams and stakeholders to manage data solutions across platforms, ensuring data quality and security. Lead data-driven solution implementation, streamline data management, and support the evolution of the data architecture. This role requires strong leadership, communication, and technical expertise in data management and architecture. The ideal candidate will have extensive experience in large-scale data solutions, particularly within healthcare and pharmacy.

Requirements

• Bachelor’s Degree or Master’s Degree in Engineering, Business or a related area (In lieu of a degree, equivalent, relevant work experience may be considered.)
• 8+ years of experience implementing large-scale data solutions, particularly in healthcare and pharmacy data domains
• Deep knowledge and experience with data architecture, management strategies, including data profiling, cleansing, and conversion
• Strong leadership and stakeholder engagement skills with excellent oral communication, presentation, and problem-solving abilities
• Experience in communicating complex data architecture designs effectively to both technical and non-technical audiences
• Proven track record of designing, implementing, and managing data architectures in large environments interfacing multiple subsystems
• Experience collaborating with architects and leads, serving as the data SME across architectural contexts
• Expertise in providing technical advice on data management, governance, and enterprise data integration strategies
• Demonstrated experience in data migration, transformation, and deployment in collaboration with DBAs, development, security, and operations teams
• Experience developing SLAs and data governance standards to ensure data integrity, retention, and compliance
• Familiarity with emerging data strategies and technologies like data mesh, data fabric, and graph databases
• Proven ability to manage data across technologies such as Microsoft SQL Server, Azure SQL, CosmosDB, PostgreSQL, Redis, Solr, and Azure Service Bus for streaming
• Excellent oral and written communication skills
• This position requires availability to work in a specified time zone or working schedule, accommodating the business needs of our clients and team members
• This position may require availability for on-call hours, including evenings, weekends, and holidays, to promptly address emergent issues or provide necessary support as dictated by operational demands (if applicable)
• Must be able to access and navigate each department at the organization’s facilities
• Sedentary work that primarily involves sitting/standing

Responsibilities

• Coordinate with internal teams to support clients, data users, and key stakeholders to develop and achieve long-term objectives for data architecture
• Design short-term solutions to achieve project goals and create a data roadmap for management
• Determine procedures for identifying and collecting required data, validating processes, and recommending improvements to corporate data
• Oversee and monitor frameworks that manage data across the organization, ensuring data quality and integrity
• Support the Product and Data Management Team in applying methodologies that adhere to required data standards
• Administer mapping of all data sources and data movement, analyzing them to ensure appropriate quality
• Collaborate with project supervisors and business leaders to manage enterprise data projects
• Manage data-related problems such as system configuration and integration on multiple platforms
• Provide training to staff on data management, improving operational efficiency
• Develop key metrics for data quality tests, ensuring data architecture integrity
• Prepare and maintain documentation for data architecture, ensuring knowledge on large data structures
• Analyze information flow and recommend appropriate technologies to support business processes
• Drive the design and implementation of a data-driven strategy across all components of Darwin, fostering the concept of data products per domain