Data Architect

About US: 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.

DS Technologies Inc is looking for Data Architect role for one of our premier clients.

Job Title: Data Architect Location: Santa Monica, CA, USA (Onsite) Position Type: Contract Only W2

Role Summary:

We are seeking an experienced Data Architect to lead the design, development, and implementation of scalable data architectures and pipelines for AstraZeneca’s Life Sciences initiatives. This is a hands-on onsite role requiring strong technical leadership, deep domain expertise in Cell and Gene Therapy, and the ability to mentor data engineers while actively contributing to architecture design, coding, and optimization. The role ensures delivery of high-quality, compliant data solutions aligned with business and regulatory standards.

Key Responsibilities:

Hands-On Development:

• Develop clean, well-documented, and high-performance code using Python and/or Scala
• Build data ingestion, transformation, and processing pipelines

Data Architecture & Design:

• 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

Integration & Security:

• 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

Business & Stakeholder Engagement:

• Collaborate with business stakeholders to understand data needs and challenges
• Translate business requirements into actionable technical solutions

Quality, Governance & Compliance:

• Implement and enforce data governance, quality, and security standards
• Ensure compliance with GxP processes and regulatory requirements

Required Skills & Experience:

Technical Skills:

• 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

Domain Expertise:

• Life Sciences domain (mandatory)

• Cell and Gene Therapy experience (mandatory)

• Strong understanding of GxP processes and compliance

Soft Skills:

• Excellent communication and stakeholder management skills
• Ability to mentor and guide data engineering teams

Experience:

• 9+ years of relevant experience as a Data Architect or Senior Data Engineer