Data Architect (Remote PT)
DesignBookmark Details
LetsGetChecked (201-500 Employees, 516% 2 Yr Employee Growth Rate)
129% 1-Year Employee Growth Rate | 516% 2-Year Employee Growth Rate | LinkedIn | $113M Venture Funding
What Is Employee Growth Rate & Why Is It Important?
Description
LetsGetChecked is becoming a global leader in personal health testing. Our medical technology platform provides connectivity between customers and our global network of laboratories. We are enabling customers to order, manage and track their own clinical outcomes through a personal online account.
We are looking for a Data Architect to enhance our growing team. Reporting directly to the Chief Software Engineer, you will join our Architecture Team where your impact will reach multiple teams and be instrumental in the future growth of our platform. We want you to help us shape the solutions that will unlock the vast potential of our rich and complex data landscape.
Responsibilities include, but are not limited to, the following:
- Communicate with many different company stakeholders to assess needs and goals
- Own documentation around our data architecture, ensure the vision is understood and implemented throughout
- Help define and achieve the non-functional requirements for data processing and storage
- Apply the best architectural standards and practices in the development of new systems as well as impacting existing ones
- Support our Data Engineering, BI, Reporting and Data Science teams, empowering them to continuously enhance their technical capabilities
- Investigate, select and incorporate industry leading technologies and patterns into the organization, help us use the best tool for the job
- Design data models, ingestion mechanisms and processing to support the business needs
Requirements
- Understand systems development life cycle, project management approaches, and requirements, design, and test techniques
- Experience as a data architect with exposure to providing technical direction in the delivery of solutions in a complex environment
- Familiarity with both ETL and ELT setups
- Deep knowledge about data management principles
- Deep knowledge about different modelling approaches to data-warehousing architecture
- Exposure to cloud native technologies, in particular AWS technologies and services
- Ability to navigate the data technology product options, including established and emerging technologies, ranging from data management and reporting, relational and NoSQL databases, predictive analytics, data visualization, batch and stream processing, unstructured data, etc.
- Comfortable creating solutions involving stream and batch processing
- Be just as good at working with people as technology, someone who makes a team better by being part of it, and empowers others to do the same
- A history of working in fast-paced environments handling multiple priorities
- Ability to work on your own with minimal supervision in a sometimes ambiguous setting
- A Master’s Degree in Computer Science or a relevant discipline