Data Architect

5 days ago

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Logo of Abarca Health

Abarca Health

Pharmacy Benefit Management (PBM) • Health Business Intelligence • Health Information Technology (HIT) • Medicare • Medicaid

501 - 1000

Description

• The Data Architect is responsible for designing, implementing, and overseeing an enterprise-wide data architecture that aligns with the organization's data strategy and goals. • This role involves collaborating with internal teams, stakeholders, and leadership to manage data solutions across multiple platforms and ensure data quality, integrity, and security. • The Data Architect will lead efforts to implement data-driven solutions, streamline data management processes, and support the organization in evolving its data architecture, including future initiatives like data mesh, data fabric, and graph databases. • 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.

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. • Drive the design and implementation of a data-driven strategy across all components of Darwin, fostering the concept of data products per domain. • 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).

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