Data Architect

DS Technologies IncSanta Monica, CA
Onsite

About The Position

DS Technologies Inc is looking for Data Architect role for one of our premier clients. We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.

Requirements

  • Strong expertise in SQL and Python
  • Experience with cloud platforms such as Snowflake, AWS (S3, related services)
  • Data modeling, data pipeline architecture, and large-scale data systems
  • API design and integration experience
  • Life Sciences domain (mandatory)
  • Cell and Gene Therapy experience (mandatory)
  • Strong understanding of GxP processes and compliance
  • Excellent communication and stakeholder management skills
  • Ability to mentor and guide data engineering teams
  • 9+ years of relevant experience as a Data Architect or Senior Data Engineer

Responsibilities

  • Develop clean, well-documented, and high-performance code using Python and/or Scala
  • Build data ingestion, transformation, and processing pipelines
  • Design, build, and maintain scalable ETL/ELT data pipelines
  • Support analytics, business intelligence, and machine learning use cases
  • Design and maintain Conceptual, Logical, and Physical Data Models for the Nexus platform
  • Ensure seamless data flow across Clinical, Logistics, and Manufacturing systems
  • Architect the integration layer between Salesforce (Patient Journey) and shop-floor systems
  • Design secure API architectures using Mutual TLS (mTLS) and OAuth 2.0
  • Ensure secure, compliant system-to-system communication
  • Collaborate with business stakeholders to understand data needs and challenges
  • Translate business requirements into actionable technical solutions
  • Implement and enforce data governance, quality, and security standards
  • Ensure compliance with GxP processes and regulatory requirements
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