Overview
On Site
Depends on Experience
Full Time
Skills
Amazon Web Services
Agile
Amazon Kinesis
Amazon Redshift
Amazon S3
Analytics
Apache Spark
Artificial Intelligence
Data Engineering
Data Modeling
Data Quality
Data Warehouse
Databricks
Enterprise Architecture
Performance Tuning
SQL
Python
Job Details
Role: Data Analytics Cloud Architect
Location: Seattle, WA/St. Louis, MO/Plano, TX/Dallas, TX/Houston, TX
Type: Fulltime Position
Job description:
- 12+ years of experience in enterprise architecture with a focus on data platforms.
- 5+ Years of hand-on experience working on AWS Data and Analytics tool stack (S3, Glue, Athena, Lake Formation, EMR, Redshift, Kinesis, Open Search and others) or Databricks to build repeatable and reusable frameworks for building Data and AI Solutions
- 5+ Years of Experience in Data Warehouses, Data Lakes and Data Modelling techniques
- 5+ Years of coding experience with Python, Spark, R, SQL or other equivalent programming languages etc.
- 3+ Years of experience implementing Data quality and observability solutions across the enterprise
- 3+ Years of experience implementing Near Real time and Streaming IoT solutions
- 3+ years of experience in application integration, APIs and Microservices
- 3+ years of experience in Data Science, Statistics, Machine Learning and GenAI
- Proficiency in Databricks for data engineering and analytics workloads.
- Performance optimization of EMR to fine tune the Spark configurations and runtime.
- Strong knowledge of Cloud centric architecture and data sharing capabilities.
- Experience working on Agile projects and Agile methodology in general
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.