Job Title: Lead Data Architect
Location: Remote
Duration: 6+ Months
Job Description:
We are creating new solutions to make health care more accessible, more integrated, and more reliable for more people. We are looking for passionate, motivated people who want to join a growing team to make a difference in customers' lives and who want to be on the ground floor of innovation that aims to reinvent
The Lead Architect, Data architecture and Solution Engineering, will be responsible for developing and executing the data strategy at the business unit level that powers the most advanced end-to-end solution architecture for highly complex and significant technology transformation initiatives in partnership with key business and IT stakeholders.
Roles and Responsibilities
Provide data technology leadership, oversight, and guidance to ensure that the solution adheres to PSS Architecture Guiding Principles and standards while maximizing reuse of technology assets.
In depth experience in performing Buy vs Build analysis based on the qualitative and quantitative analysis across the available options to provide a final recommendation based on the rationale
Play a key leadership role in architecture design reviews and identify gaps and recommend design changes.
Actively lead and participate in the Architecture community to drive modernization opportunities for the advancement of PBM data technologies
while keeping in mind the complexities of our technology landscape
Develop Reference data architectures, guardrails and guidelines to instill a
strong data discipline, providing leadership, coaching and guidance to
Engineering and Product teams across the organization.
Lead and drive proofs-of-concept and technology deep-dives especially in
leveraging AI to power business analytics
Advise and assist App development teams with technical roadblocks such as
performance challenges within a solution in key strategic initiatives
Required Qualifications
Hands-on experience in developing data designs including data models for
complex technology transformation programs
Rich experience in building automated workflows for data profiling and
anomaly detection
Experience in designing robust metadata tagging systems to power Retrieval Augmented Generation and reduce model hallucinations
Experience in working with Streaming platforms like Apache Kafka
5+ years in overall design/development experience, with hands-on work
experience in Python or functional programming languages like Scala etc
In Depth cloud platform skills and 5+ years of hand-on experience with major
public cloud platform including Google Cloud Platform, AZURE and AWS
2+ years in hands-on AI/ML (including GenAI) experience and hands-on
expertise with automating processes
Bachelor s in computer science, or related field
Preferred Qualifications
Health Care Industry domain knowledge
Robust understanding of both SQL and NoSQL database technologies
Experience in creating data architecture for modernization of legacy
mainframes/mid-range AS400 applications
Master s in computer science, or related field
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