Solution Architect – Data & Cloud Solutions

1. Architect & Implement Data Solutions
○ Design, implement, and maintain end-to-end data solutions that support research and development, clinical processes, and operational needs.
○ Collaborate with cross-functional teams (Data Scientists, Product Managers, DevOps Engineers) to identify data requirements and develop tailored solutions.
2. Data Pipeline Development
○ Create, optimize, and manage scalable data pipelines to ensure efficient data flow from multiple sources into data lakes and data warehouses.
○ Utilize Python, Airflow, and dbt to build and orchestrate automated data workflows.
3. Cloud Platform & Infrastructure
○ Leverage AWS services (e.g., EC2, S3, Lambda, Redshift) to design and implement secure, high-performing, and cost-effective solutions.
○ Integrate and optimize Snowflake for analytics, data warehousing, and business intelligence.
4. Workflow Orchestration & Automation
○ Set up and manage CI/CD pipelines to streamline code deployment and improve development cycles.
○ Implement workflow automation using Airflow or similar orchestration tools, ensuring robust and repeatable processes.
5. Data Governance & Security
○ Ensure compliance with regulatory standards relevant to the Cell and Gene Therapy industry.
○ Implement best practices for data governance, security, and quality, maintaining proper documentation and audit trails.
6. Technical Leadership & Collaboration
○ Provide guidance and mentorship to engineering teams on best practices for data architecture, data engineering, and cloud infrastructure.
○ Stay current with emerging technologies and industry trends, evaluating their potential impact and recommending adoption when appropriate.

● Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
● Experience: 5+ years of hands-on experience in data architecture, data engineering, or cloud solutions architecture roles.
● Technical Expertise:
○ Cloud Technologies: Proven experience with AWS (EC2, S3, Lambda, Redshift, etc.).
○ Data Warehouse & Data Lakes: Proficiency in Snowflake or equivalent cloud data warehouse solutions.
○ Workflow Orchestration: Hands-on experience with Airflow, dbt, or similar tools.
○ Programming & Scripting: Strong Python skills; experience with other languages (Java, Scala, etc.) is a plus.
○ CI/CD & DevOps: Practical experience setting up CI/CD pipelines and workflow automation (Jenkins, GitLab CI, etc.).
● Industry Knowledge: Familiarity with the Cell and Gene Therapy domain or life sciences is highly preferred.
● Soft Skills: Excellent communication, problem-solving, and collaboration skills; ability to work in a cross-functional, fast-paced environment.