Principal Data Architect

FinThrive is advancing the healthcare economy.For the most recent information on FinThrive’s vision for healthcare revenue management visit finthrive.com/why-finthrive.Award-winning Culture of Customer-centricity and ReliabilityAt FinThrive we’re proud of our agile and committed culture, which makes FinThrive an exceptional place to work.Our Perks and BenefitsFinThrive is committed to continually enhancing the colleague experience by actively seeking new perks and benefits.Impact you will makeAs a Principal Data Architect, you’ll spearhead the development, harmonization, and optimization of our enterprise data architecture. This position places significant focus on data transformation, governance, and enrichment. As part of this role, you'll be instrumental in shaping the data landscape that propels our organization towards success.What you will doEstablish the framework for data architecture, setting standards and principles encompassing modeling, metadata, security, reference data, and master data.Provide expertise and guidance on data-related issues, including data processing, data lake design, data integration, and data governance.Evangelize data strategy among stakeholders such as business users and various development teams through design, documentation, review, and cross team negotiations to support strategic business and technology goals.Collaborate on continuous improvement of data platform, including tech stack upgrade, cost optimization and compliance requirement.Choose and communicate common approaches by selecting appropriate frameworks and crafting roadmaps.Collaborate with cross-functional teams, including data engineers, data scientists, business analysts, product analysts, to gather requirements, define data requirements, and translate business needs into technical specifications.What you will bringBachelor’s Degree in Computer Science, Data Engineering, or Applied Science.Excellent communication, presentation, and interpersonal skills.A hands-on approach with deep expertise in enterprise systems architecture, solution design, integration design, new product, and technology assessments.Proven experience in enterprise data architecture, data platforms, data strategy consulting, or equivalent data management experience.Expertise with cloud-based platforms like Azure Data Stack (Azure SQL, Data Factory, DataBricks, ADLS, DevOps, Azure EventHub’s, etc.).Fluent in one or more programming languages (ex., Python/Java/Scala/C# or equivalent).Demonstrable experience architecting both Brownfield and Greenfield environments, on-premises and cloud.Experience building, governing, and scaling data warehouses/lakes/lake houses.Adept with agile software development lifecycle and DevOps principles.What we would like to seeExperience in architecting a Data Mesh.Expertise in infrastructure as code and automating production data and ML pipelines.Prior experience in a legacy Hadoop distribution.Experience collaborating with Data Science teams.FinThrive’s Core Values and ExpectationsDemonstrate integrity and ethics in day-to-day tasks and decision making, adhere to FinThrive’s core values of being Customer-Centric, Agile, Reliable and Engaged, operate effectively in the FinThrive environment and the environment of the work group, maintain a focus on self-development and seek out continuous feedback and learning opportunities.Support FinThrive’s Compliance Program by adhering to policies and procedures pertaining to HIPAA, FCRA, GLBA and other laws applicable to FinThrive’s business practices.Physical DemandsThe physical demands and work environment characteristics described here are representative of those that a colleague must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.Statement of EEOFinThrive values diversity and belonging and is proud to be an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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