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Key skills for this role
Drive large cross team initiatives within engineering from start to production
Owns cross team effects of their work, breaks down work and drives with the appropriate stakeholders
Communicates effectively across the organization
Architectural alignment at the company level
Defines and champions your teams best practices to the organization
Influences product roadmap and shapes what we should be building to be impactful for customer
Works following the lean execution model through iterations and feedback loops to deliver business value.
Shape the engineering vision while owning the data models and toolchain for our data platform.
Build and maintain robust batch and streaming pipelines, leveraging cloud technologies and distributed systems.
Develop tools and processes to deploy configurational data and self-service tools.
Enhance the maturity of our monitoring systems to improve visibility and failure detection within our infrastructure.
Become a subject matter expert on our diverse datasets and associated tooling.
Ensure privacy and security in the governance of our data in collaboration with cross-functional teams.
Advocate for a scalable, maintainable data platform that supports our evolving business needs.
Understands business priorities / deadlines and executes on initiatives that are most impactful, while communicating to the various engineering teams your goals and set expectations correctly.
10+ Years of experience
Curious - you look at your work beyond the surface, and care about why and how things work
Get Stuff Done - Say what you will do, and do that. Deliver work timely and reliably.
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Growth Mindset - Believe in potential, embrace challenges, learn from mistakes.
Teachable - Willing to learn from anyone and want to teach others
Respectful - All viewpoints are valuable - we listen and provide appropriate feedback
Collaborative - Prioritizes unblocking teammates, users, stakeholders
Extensive experience driving technical projects, prioritizing work, identifying dependencies, and facilitating technical decisions across teams.
Deep expertise in SQL, data analysis, and data modeling, with a strong understanding of distributed systems and cloud environments.
Experience with data processing technologies like Spark or Flink - batch and microbatch analytics
Able to evangelize and use data mesh design principles to build data products.
Proven track record in designing systems that are scalable, available, maintainable, and performant.
Proficiency in coding (Python or other languages) and knows when to apply AI assisted development tools
Proficiency building infrastructure using major cloud providers e.g. AWS and infrastructure as code solutions e.g. Terraform
At Paradigm Health, we are committed to providing equal employment opportunities to all qualified individuals. We encourage and welcome candidates from all backgrounds and perspectives to apply for our open positions. We are interested in all qualified individuals and ensure that all employment decisions are based on job-related factors such as skills, experience, and qualifications.
AI-native clinical trial platform connecting biopharma sponsors with research-ready providers to expand patient access to clinical research.
Visit company websiteJobs and hiring trendsUSD 187000-234000 yearly / year
Full-time
Senior · 10+ years experience
Remote
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