Axle · 20 hours ago
Senior Data Architect
Axle is a bioscience and information technology company that focuses on advancements in translational research, biomedical informatics, and data science applications. They are seeking a Senior Data Architect to contribute to the core data platform that supports large-scale healthcare and research datasets, ensuring data quality and system reliability.
BiotechnologyHealth CareInformation TechnologySoftware
Responsibilities
Write clean, modular, well-tested Python code for data pipelines and platform services
Use decorators, context managers, and unit tests to ensure correctness and maintainability
Contribute to shared libraries and reusable components across the platform
Implement relational data models aligned with medallion architectures (bronze/silver/gold)
Support schema evolution and backward-compatible changes
Work with modern table formats such as Apache Iceberg
Build and maintain data workflows using Dagster (preferred) or Airflow
Manage sensors, schedules, and complex job dependencies
Implement ingestion pipelines using Airbyte or similar ELT tools
Implement idempotent transformation logic using SQLMesh/Tobiko (preferred) or dbt
Add data quality checks and validation gates using frameworks like Great Expectations
Partner with upstream and downstream users to diagnose and resolve data issues
Build, debug, and optimize Docker images for local and production environments
Contribute to CI/CD pipelines supporting automated testing and deployment
Follow modern Git workflows including branching strategies, pull requests, and code reviews
Read and modify infrastructure-as-code using Terraform
Work with AWS primitives (S3, Lambda, Glue, Fargate), with a focus on portability and migration toward open-source, cloud-agnostic alternatives
Apply least-privilege and identity-based access concepts (OIDC/IAM)
Operate comfortably within regulated environments (HIPAA, FedRAMP)
Document data flows, system architecture, and operational procedures clearly
Collaborate closely with senior engineers, informaticists, and project stakeholders
Participate in design reviews and contribute ideas for improving platform reliability and scalability
Qualification
Required
2–4 years of experience in Data Engineering or Backend Software Engineering
Strong proficiency in Python and SQL
Solid understanding of relational theory and data modeling
Experience working with orchestration tools (Dagster, Airflow, or similar)
Familiarity with containerization and Docker-based workflows
Experience working with version control, CI/CD, and collaborative development practices
Ability to write clear technical documentation
Preferred
Experience with Iceberg, Airbyte, Great Expectations, SQLMesh, or dbt
Prior work on regulated data platforms (healthcare, government, finance)
Interest in data platform architecture and long-term system evolution
Benefits
100% Medical, Dental & Vision Coverage for Employees
Paid Time Off and Paid Holidays
401K match up to 5%
Educational Benefits for Career Growth
Employee Referral Bonus
Flexible Spending Accounts:
Healthcare (FSA)
Parking Reimbursement Account (PRK)
Dependent Care Assistant Program (DCAP)
Transportation Reimbursement Account (TRN)
Company
Axle
At Axle, we are driven by the mission to accelerate discovery and enhance organizational outcomes by revolutionizing operations with our innovative solutions.
H1B Sponsorship
Axle has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (37)
2024 (40)
2023 (61)
2022 (30)
2021 (19)
2020 (38)
Funding
Current Stage
Late StageCompany data provided by crunchbase