Senior AWS Data Architect — Hybrid (Beverly Hills)

Momento USA

Beverly Hills (CA)

Hybrid

USD 140,000 - 200,000

Full time

11 days ago
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Job summary

Momento USA is seeking an AWS Data Architect in Beverly Hills, CA, for a long-term hybrid role. You will design and implement enterprise data solutions, leveraging AWS Redshift and Glue, PySpark, and DBT, while aligning with data governance and scalable architecture.

The ideal candidate has extensive experience in data engineering and software architecture, with excellent communication to collaborate across IT and business teams.

Qualifications

  • 15-20 years of professional experience in software engineering, data engineering, machine learning, or related field.
  • Design and architect end-to-end data solutions leveraging primary data warehouse.
  • Strong problem solving and analytical mindset.
  • Write robust, maintainable code in Python/Pyspark, SQL and DBT.
  • Experience with cloud architecture and AWS services (Redshift, AWS Glue).
  • Experience with Spark, Kubernetes, Docker, Jenkins, Hive, Terraform.
  • Databricks knowledge preferred.
  • Experience with agile development and test-driven development.
  • Understanding of data structures, data modelling and software architecture.
  • Undergraduate CS degree or equivalent.
  • Effective communication with team and business.

Skills

Problem solving
Analytical mindset
Effective communication
Team collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Python/PySpark
SQL
DBT
AWS
Redshift
AWS Glue
Spark
Kubernetes
Docker
Jenkins
Hive
Terraform
Databricks

Job description

Momento USA is seeking an AWS Data Architect in Beverly Hills, CA, for a long-term hybrid role. You will design and implement enterprise data solutions, leveraging AWS Redshift and Glue, PySpark, and DBT, while aligning with data governance and scalable architecture.

The ideal candidate has extensive experience in data engineering and software architecture, with excellent communication to collaborate across IT and business teams.

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