Salary
💰 $144,500 - $209,300 per year
Tech Stack
AWSCloudPythonSparkSQL
About the role
- Lead and execute the strategy to build highly reliable and scalable data and analytics cloud platforms
- Lead the creation and implementation of repeatable and reusable frameworks for delivering Data and AI solutions
- Establish architecture best practices, along with comprehensive standards and guidelines
- Develop advanced hands-on Proof of Concepts (PoCs) and Minimum Viable Products (MVPs)
- Own all communication and collaboration channels pertaining to assigned projects
- Establish working relationships with vendors, partners, and cross teams
Requirements
- Bachelor’s degree or higher
- 10+ years of experience with Data Warehousing, Databases, and Data Modelling technologies and services
- 5+ years of experience leading and designing highly scalable cloud architecture patterns and frameworks
- 5+ years of experience working on AWS Data and Analytics tool stack
- 5+ years of experience in coding languages such as Python, Spark, R, SQL or other equivalent programming languages
- Health insurance
- Flexible spending accounts
- Health savings accounts
- Retirement savings plans
- Life and disability insurance programs
- Paid and unpaid time away from work
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Data WarehousingDatabasesData Modellingcloud architecturePythonSparkRSQLProof of Concepts (PoCs)Minimum Viable Products (MVPs)
Soft skills
communicationcollaborationleadershiprelationship building
Certifications
Bachelor’s degree