Data Architect with Pharmacovigilance experience - (Fulltime)

The Dignify Solutions, LLC

Raritan (NJ)

On-site

USD 100,000 - 140,000

Full time

14 days+

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Job summary

A technology consulting firm is seeking a Data Architect with Pharmacovigilance experience to manage the architecture of Safety Data Platforms. The ideal candidate will leverage tools like GCP and lead the development of data pipelines. Strong scripting skills in Iron Python and JavaScript are essential, along with a thorough understanding of data technologies.

Qualifications

  • Must have Pharmacovigilance experience, with understanding of the ArisG ecosystem.
  • Proficient in data processing technologies, including GCP services like BigQuery and Kafka.
  • Experience with serverless architectures and data pipelines.

Responsibilities

  • Own the end-to-end architecture of modern Safety/Pharmacovigilance Data Platforms.
  • Design and develop scalable and resilient data processing pipelines.
  • Collaborate with teams to improve security posture and develop disaster recovery plans.

Skills

Scripting with Iron Python
JavaScript
HTML
CSS
Python
R

Job description

Data Architect with Pharmacovigilance experience - (Fulltime)

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  • Own the end-to-end architecture of modern Safety/Pharmacovigilance Data Platforms, ingesting data from various clinical and non-clinical systems and transforming it into insights for internal and external users using scalable big data pipelines on GCP.
  • Must have Pharmacovigilance experience, including understanding of the ArisG ecosystem for data dependency purposes.
  • Design and develop flexible, scalable, and resilient data processing pipelines using industry-leading tools and technologies, including serverless architectures, containers, and Data Fabric.
  • Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses.
  • Write clear, detailed, and concise documentation—architecture diagrams, reference architecture, data flows, data models, and implementation plans.
  • Enhance our API infrastructure connecting web portals to the back-end processing engine.
  • Leverage latest innovations in data science to improve our footprint.
  • Collaborate with Security and Risk Management teams to improve security posture and develop disaster recovery plans.
  • Proficient in scripting with Iron Python, JavaScript, HTML, CSS, and basic Python and R scripting.
  • Thorough understanding of GCP services for data, analytics, and AI such as BigQuery, Apache Kafka, Vertex AI, AutoML, Gemini, etc.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Other
Industries
  • IT Services and IT Consulting
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