Principal Data Architect
Posted on 9/20/2023
INACTIVE
SmithRx

201-500 employees

Transparent pharmacy benefits manager reducing drug costs
Company Overview
SmithRx is a transparent pharmacy benefits manager that prioritizes customer alignment, demonstrated by its independence from insurance companies and pharmacies. The company's culture is centered on exceptional customer service, as evidenced by testimonials highlighting the staff's proactive assistance in reducing medication costs and ensuring timely delivery. With its advanced technology and cost-saving programs, SmithRx has positioned itself as an industry leader in providing affordable pharmacy benefits to employers and patients.
Data & Analytics

Company Stage

Series B

Total Funding

$40.5M

Founded

2016

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

42%

1 year growth

143%

2 year growth

426%
Locations
San Francisco, CA, USA • Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
BigQuery
Airflow
Postgres
Redshift
Snowflake
SQL
Python
CategoriesNew
Data & Analytics
Requirements
  • BS or advanced degree in Computer Science, Information Systems, or relevant experience
  • Minimum of 10+ years of experience in data engineering, software engineering, or related field
  • Strong database architecture, critical thinking, and problem-solving abilities, along with an ability to handle ambiguous, and evolving requirements
  • Good understanding of the latest database structure and types. Ability to architect and implement the database design based on the use cases. (OLTP, No SQL, document store, OLAP, graph, and time series databases)
  • Prior experience in production database/data warehouse admin and performance optimization, security best practices to ensure operational excellence
  • Expert in SQL, Python, Shell programming, Spark (Batch/Streaming), SparkSQL, PySpark, CI/CD, and automated testing capabilities
  • Experience in data technologies (AWS Redshift, Postgres DB, Snowflake, BigQuery, Airflow, Terraform, Kubernetes, Spark, pySpark, etc.)
  • Ability to collaborate with multiple teams and influence stakeholders to consider alternate viewpoints
Responsibilities
  • Lead a data architecture board (engineering, platform, and data engineering) with responsibility for data architectural design, performance tuning, administration, data security, and protection
  • Monitor and optimize the performance of database systems. Develops flexible, maintainable, and reusable data engineering solutions using standards, best practices, and frameworks with a focus on efficiency and innovation
  • Provide technical guidance, solid design principles, and support to developers, system administrators, and other stakeholders
  • Ensure that data is secure and protected from unauthorized access or modification. Implement security protocols such as encryption, access controls, and data backup and recovery procedures
  • Identify and contributes to opportunities for technology improvements, tooling innovations, best practices, and vendor evaluations
  • Drive engineering excellence and lead craftsmanship in building, testing, and optimizing ETL/feature/metric pipelines