Data Architect responsible for enterprise data architecture and solutions at NMC. Collaborating with various teams while evolving Microsoft D365 data architecture.
About the role
- Senior Data Engineer supporting cutting-edge cancer research and data licensing initiatives at Caris Life Sciences. Collaborating with scientists, improving data architecture, and designing scalable data solutions.
Responsibilities
- Collaborate closely with other data engineers, computational scientists, and researchers to make complex, multimodal data easily accessible for scientific discovery.
- Maintain and enhance our AWS-based data platforms (Glue, Athena, S3) while evaluating and implementing new tools and approaches for data delivery.
- Design, build, and optimize data pipelines that integrate diverse data sources into a scalable and secure data lake.
- Continuously improve data architecture, automation, quality control, and testing processes.
- Proactively troubleshoot, optimize, and modernize existing systems to ensure reliability and performance.
- Contribute to best practices in data engineering, documentation, and cross-team knowledge sharing.
- Assist with architecting solutions having scalability in mind to support future growth in data volume and complexity.
- Provide technical mentorship (when needed) to data engineers and contribute to team development.
Requirements
- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience
- 6+ years of software development experience, including at least 3 years focused on data engineering
- Proficiency with Python and experience working with data frames for transformation and analysis
- Hands-on experience with relational (SQL) and NoSQL databases
- Solid understanding of cloud platforms (preferably AWS) and ETL/ELT pipeline development
- Familiarity with CI/CD for data workflows, Git, and infrastructure as code (e.g., Terraform, CloudFormation)
- Strong communication skills and the ability to work effectively in cross-functional teams.
Benefits
- Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check (applicable for certain positions) and reference verification
- Equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
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