Staff Software Engineer, Data Platform Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead significant cross-functional initiatives within the engineering department from inception to production.

• Take ownership of the cross-team impacts of projects, decompose tasks, and drive initiatives in collaboration with relevant stakeholders.

• Communicate effectively throughout the organization.

• Align the architecture at the organizational level.

• Define and advocate for best practices across teams within the organization.

• Influence the product roadmap and develop impactful, customer-centric products.

• Execute lean methodologies with iterative processes and feedback mechanisms to deliver business value.

• Shape the engineering vision while managing data models and the toolchain for the data platform.

• Build and sustain robust batch and streaming data pipelines utilizing cloud technologies and distributed systems.

• Create tools and processes to deploy configuration data and self-service utilities.

• Improve monitoring systems for better infrastructure visibility and failure detection.

• Become a subject matter expert on various datasets and their associated tools.

• Ensure data privacy and security governance in collaboration with cross-functional teams.

• Advocate for a scalable and maintainable data platform that meets evolving business requirements.

• Grasp business priorities and timelines, execute impactful initiatives, communicate objectives, and establish expectations among engineering teams.

• Collaborate with product, AI, infrastructure, health systems integration, and business intelligence teams.

• Manage technical debt while mentoring engineers across various functions.

• Develop a technical strategy and a stepwise plan to transform legacy data pipelines into a coherent, modular, and reusable data platform.

⛳️ Requirements

• Over 10 years of experience in the field.

• Extensive background in driving technical projects, prioritizing tasks, identifying dependencies, and facilitating technical decisions across teams.

• Profound expertise in SQL, data analysis, and data modeling.

• Strong understanding of distributed systems and cloud computing environments.

• Experience with data processing technologies such as Spark or Flink for batch and micro-batch analytics.

• Ability to promote and implement data mesh design principles in building data products.

• Demonstrated success in designing scalable, reliable, maintainable, and efficient systems.

• Proficient in programming (Python or other languages).

• Knowledge of the appropriate application of AI-assisted development tools.

• Proficient in building infrastructure utilizing major cloud providers like AWS.

• Experience with infrastructure as code solutions, such as Terraform.

• Eagerness to learn and delve deeply into the clinical data domain.

• Customer obsession as a fundamental leadership principle.

• Legally authorized to work in the United States.

• Must indicate whether visa sponsorship is needed to work in the United States.

🏝️ Benefits

• Equity.

• Equal employment opportunities.