Senior Data Architect

3 Weeks ago • 12 Years + • $160,000 PA - $180,000 PA

Job Summary

Job Description

As a Senior Data Architect at Kyruus Health, you will be responsible for technical leadership and development by providing architectural data guidance for all products. You'll be involved in data mesh enablement, system architecture, cross-functional collaboration, quality and performance, and risk management. You'll also establish best practices, identify and resolve performance bottlenecks, and ensure compliance with SOC2, HiTrust, and HIPAA regulations. This role requires empathy, a driven approach to problem-solving, respect for others, and accountability for results. You will be responsible for building, maintaining, and scaling data systems. This includes a deep understanding of various technologies such as GCP BigQuery, Snowflake, and cloud platforms like AWS, GCP, or Azure.

Must have:

12+ years of software engineering experience.
5+ years of experience as a tech lead.
Experience building and scaling data pipelines.
Experience with business intelligence tools.
Deep knowledge of data technology stacks.
Deep knowledge of cloud platforms.
Strong RESTful API design principles.
Knowledge of CI/CD pipelines, containerization, and version control.
Strong leadership and communication skills.
Proven problem-solving ability.

Good to have:

Experience in the healthcare industry.
Experience with multiple EHR integrations.
Experience with implementing and managing data contracts.

Perks:

Annual bonus program.
Equity.
Benefits.

15 skills required

15 skills required for this role

Add these skills to join the top 1% applicants for this job

cross-functional

ci-cd

github

looker

aws

business-intelligence

communication

java

kubernetes

circleci

redis

restful-api

microservices

azure

nosql

Job Details

At Kyruus Health, our mission is to connect people to the right care, in pursuit of our vision: a better healthcare system- one that's transparent and accessible- where everyone gets the care they need. Our values are at the heart of everything we do:
We care deeply – We do the right thing even if it’s the harder thing. We are fiercely driven – We harness our curiosity to pursue continuous improvement and create simple solutions to complex problems. We lead with respect – We celebrate the individual traits that make each of us unique and seek out diverse voices to listen and learn. We are accountable – We do what we promise for each other and our customers.
Here’s what that would mean for you in the Senior Data Architect - Data Platform role. Care: Empathy for others - our internal stakeholders, customers, members, and patients. Driven: Ability to think through complex problems, and break them down into milestones and small chunks that your team can complete in short iterations. Respect: Effective communicator who can express ideas and quarterback a plan to team members and cross-functional teams. Accountable: Achieve agreed-upon, measurable results for our listings management business. Examples include revenue targets, customer adoption metrics, and user outcomes. What you will do in a Senior Data Architect role at Kyruus Health:

Technical Leadership & Development: As a recognized technical leader within the company, build and provide architectural data guidance to all products and services about how to work, manage, and interact with the data platform. Occasionally, acting as a technical advisor who engage with C suites executive and department heads to influence technology strategy.
Data Mesh enablement: As Kyruus is committed to enable data mesh architecture, design, build, and maintain the domain-driven design where data can be securely stored, access controlled, discoverable, and usable while under the centralized governance.
System Architecture & Best Practices: Establish and enforce best practices for coding, testing, CI/CD pipelines, security, and performance optimization. Drive continuous improvements in architecture to enhance scalability and reliability.
Cross-functional Collaboration: Work closely with other engineering teams, DevOps, and QA to align on project goals, system integrations, and operational excellence. Maintaining an extensive relationship throughout the organization to influence and drive well architecture designs. Can communicate effectively to both engineering teams and upper management to align expectations and ensure successful product delivery.
Quality & Performance: Ensure high availability and reliability of the data platform. Identify, and provide guidance to resolve performance bottlenecks, and implement monitoring and alerting systems.
Risk Management: Identify potential risks in projects and technical decisions, proposing mitigation strategies and contingency plans. Ensure the system is designed and controlled according to SOC2 and HiTrust certifications and meets HIPAA rule.

How You Can Grow

Kyruus Health will bring you through an onboarding process that is both structured and self-guided, designed to enable connection and productivity as you learn more about our company, functions and products. Additionally, we have a culture of feedback, inclusive of our performance review process that provides you with the coaching, resources and opportunities to help you learn and grow with us.
Kyruunauts in the Senior Data Architect role can move in a more linear career path to a Principal Data Architect position. From there, you could explore a leadership position within the Engineering vertical.
Kyruus Health also loves to see an internal transfer. If a linear career path is not what you’re looking for, you can work with your manager and HR to explore lateral moves to other parts of the organization as you continue to grow with us.

What you will bring:

12+ years of software engineering experience, including hands-on technical experience building, maintaining and scaling data systems.
5+ years of experience as a tech lead who successfully converts business / product requirements into well architecture designs.
Extensive experience in building and scaling large data pipelines including real time processing and / or 100+ GB transformation in Java, Python, DBT, and SQL.
Extensive experience in building and maintaining large business intelligence projects with popular business intelligence tools such as Looker, PowerBI, and Looker.
A deep knowledge of common data technology stacks such as GCP BigQuery, Snowflake, Databricks, DBT, Datalake architecture on AWS S3 or GCP Cloud storage.
A deep knowledge in cloud platforms such as AWS, GCP, or Azure, and cloud-native API solutions.
A deep knowledge of data modeling and data governance control.
A strong RESTful API design principles, microservices architecture, distributed asynchronous system and good design patterns.
A strong knowledge with CI/CD pipelines (CircleCI, Github Action), containerization (Docker, Kubernetes), and version control (Git), infrastructure as code (Pulumi, Terraform), Relational and NoSQL databases, caching mechanisms (Redis, Memcached), and performance optimization techniques.
Strong leadership and communication skills, with the ability to influence cross-functional teams and communicate complex technical details to upper management and non technical stakeholders.
A proven problem-solving ability with a focus on delivering solutions.
Positive attitude: Maintaining a constructive approach to work challenges.

Strong preferred skills and experience

Experience in the healthcare industry and have a good understanding of the ecosystem and data security compliance.
Experience with multiple EHR integrations such as Epic and Cerner and intricate knowledge of managing the EHR partnership.
Experience with implementing and managing data contracts.