The Scientific Computing Team at Twist is looking for a Data Architect to design and oversee the implementation of our data infrastructure. This role is essential for supporting our cutting-edge products in genomics, diagnostics and personalized medicine through robust and scalable data solutions.
As a Data Architect with a focus on data engineering you will play a pivotal role in designing and implementing Twist’s data infrastructure. You will work closely with cross-functional teams to ensure our data architecture supports the company's strategic objectives while being actively involved in hands-on data engineering tasks.
Key Responsibilities:
- Develop and maintain scalable, flexible and high-performance data architecture.
- Create data models, schemas and architecture blueprints to support business intelligence, analytics and data science initiatives.
- Ensure data architecture aligns with business goals and complies with data governance and security policies.
- Build, optimize and maintain efficient ETL/ELT pipelines to process large volumes of data.
- Implement data integration solutions to connect various data sources, including APIs, databases and third-party services.
- Collaborate with data engineers to develop and enhance data pipelines using modern data engineering tools and frameworks.
- Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions.
- Provide technical leadership and mentorship to junior data engineers and team members.
- Foster a culture of continuous improvement by identifying opportunities to optimize data processes and workflows.
- Establish monitoring and alerting mechanisms to ensure data integrity and system performance.
- Troubleshoot and resolve data-related issues promptly to minimize disruption to business operations.
What You’ll Bring to the Team:
- Programming experience - SQL and Python
- Comfortable operating in cloud-based technologies such as AWS, Databricks, Snowflake, dbt
- Experience with visualization tools - Tableau preferred
- Strong interpersonal skills and the ability to work well in a team.
- Attention to detail and the ability to work efficiently in a fast-paced environment.
- Critical and strategic thinking to your work, including making logical conclusions, anticipating obstacles, and open-minded approaches to problem solving.
Preferred Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Systems or a related field with proven experience in data solutions.
- Minimum of 5 years of relevant industry experience in a field such as computer science, molecular biology, biochemistry, genetics, genomics, or chemistry.
- Proficient in Snowflake for data warehousing, including comprehensive administration and advanced data modeling with expertise in automating workflows and optimizing performance across data systems.
- Expertise in building and maintaining scalable ETL/ELT pipelines using tools like Matilllion, dbt, Fivetran and HVR for data transformation and integration.
- Proficiency in SQL and programming languages such as Python and Java, with experience in big data technologies like Hadoop, Spark, and Databricks.
- Expertise in data visualization tools like Tableau with a strong ability to create insightful reports and dashboards.
- Strong understanding of data quality, data cataloging and governance practices to ensure data integrity and compliance.
- Excellent problem-solving skills with the ability to work independently and collaboratively and strong communication skills to convey complex technical concepts to non-technical stakeholders.
