Data Platform Architect
Listed on 2026-01-12
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Software Development
Data Engineer, Software Engineer
The Architecture Team’s mission is to enable Engineering teams to deliver new products and innovations in the complex Pharmacy Automation space of healthcare. We are looking for a pragmatic best-in-class Software Architect to be focused on our system’s Data Platform architecture, which must tie together our breadth of products and data, balance governance and data access, and enable complex analysis and decision making.
This position must collaborate effectively with a cross-discipline team of architects as well as other engineering leaders, tech leads, product leaders, and product managers. It requires excellent leadership skills, deep technical knowledge, the capacity to understand a complex product ecosystem, and the ability to move the Data Platform forward according to the larger architectural vision. Scope of responsibilities includes managing designs, guiding teams, advising the business, researching technologies, writing core code, and more.
The ideal candidate will have a proven and extensive track record of delivering products, and the hands‑on technical leadership & expertise to ensure successful delivery of customer outcomes.
If you are looking for the opportunity to work on products that positively impact healthcare and patient lives, alongside collaborative and forward-thinking peers, while working on cutting edge technologies and driving innovation, we look forward to hearing from you!
ResponsibilitiesTechnical lead for the development and maintenance of data model-based solutions.
Provide leadership and continual improvements to data model architectures and technical data delivery practices.
Develop data model structures, extract transform & load (ETL) services, reporting services, and enterprise data management strategies.
Provide hands‑on technical knowledge and capabilities to create and maintain analytical and visual reporting solutions.
Plan and pilot unit testing patterns of data solutions to ensure developed product meets business requirements.
Coordinate with data testing team to ensure smooth and well-documented releases.
Proactively resolve bugs and data issues as identified by product management, project management, or governance functions.
Assess functional requirements in a timely and efficient manner to create and maintain data solutions which fit within data engineering architecture patterns and standards.
Actively engage in and learn the business processes of the supported lines of business.
Stay apprised of technological innovation and constantly improve through training while mentoring line of business or technology team’s data skills.
Work very closely with the architects, data platform leads and product team to solve technical and execution challenges.
Actively contribute to the data governance, master data management, compliance and data platform’s security posture.
Be a hands‑on leader who is willing to dive deep as and when needed.
Identify opportunities for technology advancements and drive innovation in development.
Deep technical leadership and development experience of distributed/scalable systems and high-volume transaction applications, architecting big data projects.
Hands‑on programming experience in Scala, Python, and other object‑oriented programming languages.
Expert in using Big data technologies like, Apache Kafka, Apache Spark, Real Time streaming, Structured Streaming, Delta Lake, Data mesh architecture.
Hands‑on working experience in cloud infrastructure like AWS. Able to scale code and deploy applications in the public cloud using technologies like AWS, Lambda, Docker, Kubernetes.
Working knowledge of tools like Databricks, Jupyter notebooks, source control, CI/CD, and Data Dog.
Expert in Agile development practices and Software Quality Assurance process. Comfortable in shipping new features in complex environment.
Proven experience in utilizing AI/ML models to deliver business outcomes based on data
Excitement to learn how to build and ship enterprise grade software at scale.
Have a can‑do attitude and make a positive impact our culture.
Always put the customer first.
Excellent analytical and problem‑solving skills.
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