Data Architect - Nomi Health
Austin, TX 78701
About the Job
We are seeking an experienced and innovative Data Architectto join our team in Austin, Texas. You will be reporting into the Director of Data Engineering. You will have a strong emphasis on data modeling, SQL, NoSQL, system architecture, and a passion for scaling data infrastructure. You will play a critical role in designing, implementing, and optimizing data solutions that support our growing business needs.
How you will make an impact
- Evolving our infrastructure, patterns and tooling with a specific focus on high throughput, reliable and idempotent pipelines
- Ensuring the business receives, processes, transmits high quality data which will underpin all data science and reporting needs
- Design and own the data models for the product application as well as analytical models
- Design and own the build and maintenance of efficient and scalable data models to meet business requirements (product application & analytical)
- Work closely with cross-functional teams to understand data needs and drive alignment with business objectives
- Architect and build robust and scalable data systems to support the organization's growth
- Evaluate and recommend appropriate technologies for different components of the data infrastructure
- Establish and enforce data engineering standards, coding conventions, and best practices
- Play a key role in establishing a data governance framework and committee to enable and empower the organization in leveraging data assets; in adherence with industry regulations
- Develop and maintain data pipelines built on top of variations of python & SQL
- Create clear and comprehensive documentation, including data models, architecture diagrams, and data workflows
- Mentor members of the data engineering team and provide guidance on best practices
What we are looking for
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
- 5 - 10 years experience as a data engineer with a focus on modeling, SQL, NoSQL, and system architecture
- Strong proficiency in Python and experience with data processing frameworks
- Experience with code reviews, version control, and continuous integration/continuous deployment (CI/CD)
- Excellent problem-solving skills and attention to detail
- Strong communication skills to convey technical concepts to diverse audiences
- Previous experience in a senior or lead data engineering role
- Understanding of data governance and compliance
PI239809850
Source : Nomi Health