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Data Solutions Architect

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Vantive Health LLC
Full Time position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Security, Data Scientist
Job Description & How to Apply Below

Vantive is a vital organ therapy company on a mission to extend lives and expand possibilities for patients and care teams everywhere. For 70 years, our team has driven meaningful innovations in kidney care. As we build on our legacy, we are deepening our commitment to elevating the dialysis experience through digital solutions and advanced services, while looking beyond kidney care and investing in transforming vital organ therapies.

Greater flexibility and efficiency in therapy administration for care teams, and longer, fuller lives for patients— that is what Vantive aspires to deliver.

We believe Vantive will not only build our leadership in the kidney care space, it will also offer meaningful work to those who join us. At Vantive, you will become part of a community of people who are focused, courageous and don’t settle for the mediocre. Each of us is driven to help improve patients’ lives worldwide. Join us in advancing our mission to extend lives and expand possibilities.

Business

Title:

Data Solutions Architect

Job Title:

Data Architect

Job Profile:

MGR II – Information Technology – General IT

Function:

Data Engineering and Analytics Platforms

Grade:

19

The Data Solutions Architect is responsible for architecting data solutions utilizing their vast experience in data architecture standards and processes. They will develop artifacts such as enterprise data models, product life-cycle metrics and value proposition, and assist business and IT leaders with application rationalization, measuring total cost of ownership, developing architecture roadmaps, and prioritizing global domain initiatives in collaboration with the data product leadership team.

The Data Solutions Architect is a key member of Vantive’s Global Data Engineering and Analytics Platforms team and leads the Data and Analytics Architecture working in close collaboration with the Data CoE, business domains and data product delivery.

Responsibilities Enterprise Data Architecture
  • Own the domain data models.
  • Design data solutions based on business needs
  • Advise, mentor and assist data engineering teams on the best data architecture approaches to solve business problems
  • Partner with Data Governance team to ensure the interoperability between the data maintained in the data platforms and the Master Data and metadata collections.
  • Partner with the Enterprise Data Architect to ensure all Non-Functional Requirements (e.g., security, performance, availability, privacy, scalability, compliance etc.) are addressed in the data products developed.
  • Evaluate, prototype, test and recommend emerging data technologies and platforms from open source or vendors.
  • Lead or participate in data domain efforts to build proof of concept prototypes
  • Communicate complex technical topics to non-technical business users
  • Define data architecture framework and methodology for assessing the health of the data products
  • Define data architecture patterns and framework, develop standards for using modern data platforms and data pipelines, and take ownership to define and maintain enterprise data models.
  • Create and implement a multi-year plan that supports the organization’s data centric vision via technology enablers.
  • Guide the organization-wide adoption and help to increase the data architecture maturity
Solution Architecture
  • Provide guidance related to cross-functional digital product standards as applied throughout the product delivery teams
  • Domain experience in one or more functional areas:
    • Supply Chain
    • Commercial
    • Corporate Functions (Finance, Legal, HR, Procurement)
    • Digital Product Innovation (R&D)
  • Provide leadership and cross-functional digital product standards as applied throughout the product delivery teams
  • Technology liaison between business stakeholder/product owner and development team
  • Support for critical issues with the data solutions (including performance and data quality issues)
  • Define Metrics and KPIs that measure the effectiveness of the data solutions in the business domain
  • Strong understanding of the software development life cycle models including working in an Agile organization
  • Experience in negotiation and communication at a leadership level
  • Strong organizational skills, project…
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