Bachelor's or master's degree in computer/data science or related field
7+ years hands-on experience with relational, dimensional, and/or analytic databases
Experience with data warehouse, data lake, and enterprise big data platforms
Strong data modeling skills
Knowledge of Snowflake
Experience with Azure Cloud and visualization tools (Tableau, Power BI)
Familiarity with star schema design
Bonus: healthcare or insurance industry experience
Responsibilities
Design and develop scalable and secure data architectures to support analytics
Collaborate with stakeholders to convert business requirements into technical solutions
Integrate and manage diverse data sources for seamless access
Optimize data infrastructure for enhanced performance and reliability
Stay updated on and implement emerging technologies in data engineering
Benefits
Flexible Work Schedule/Telecommuting
Vacation/Paid Time Off
Employee Discounts and Rewards
Health Insurance/Wellness Program
Support for work-life balance
Full Job Description
Job Description As a Data Architect / Data Model, you will design and manage scalable, secure data architectures to meet business needs. You will ensure the data governance, infrastructure optimization, and diverse data source integration. Collaborating with stakeholders, you will translate requirements into data architecture and produce schema diagrams and scripts to deploy those architectures. You will drive innovation by adopting emerging technologies, ensuring high data quality, and enabling analytics for decision-making.
Responsibilities:
Design and Develop Data Architectures: Create scalable, secure, and efficient data models, schemas, and architectures to support organizational needs and analytics.
Collaborate with Stakeholders: Work closely with business, analytics, and IT teams to translate requirements into technical data solutions.
Integrate and Manage Data Sources: Design strategies to consolidate and manage diverse data sources, enabling seamless data integration and accessibility.
Optimize Data Infrastructure: Analyze and improve database performance, storage solutions, and data pipelines to ensure high availability and reliability.
Stay Updated on Emerging Technologies: Evaluate and incorporate advancements in data engineering, cloud platforms, and big data technologies to enhance the organization's capabilities.
Requirements
Bachelor's or master's degree in computer/data science technical or related experience.
7+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
Strong data modeling experience
Needs knowledge and experience with Snowflake
Experience with Azure Cloud
Experience with Tableau and Power BI
Huge bonus if they have experience with health care / insurance
Knowledge and hands-on experience with start schema
Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
