
Data Architect
23 hours ago
We're seeking an experienced Data Architect to join our analytics team. The ideal candidate will have a strong background in designing and implementing scalable data platforms using AWS services such as Aurora, Redshift, and S3.
This role requires collaboration with cross-functional teams to deliver insights quickly and ensure the performance, reliability, and scalability of our analytics infrastructure.
The successful candidate will be responsible for developing data models, materialized views, and APIs to enable fast reporting and analytics.
Additionally, they will design and maintain data pipelines connecting various sources, automate scheduled reporting workflows, and collaborate with engineers, product, and design teams to deliver high-quality results.
Key Responsibilities:- Design and implement scalable data platforms using AWS services such as Aurora, Redshift, and S3.
- Develop data models, materialized views, and APIs to enable fast reporting and analytics.
- Automate scheduled reporting workflows and exports for clients and admins.
- Collaborate with cross-functional teams to deliver insights quickly and ensure the performance, reliability, and scalability of our analytics infrastructure.
- Strong experience with AWS data stack (Aurora, Redshift, S3, Lambda/EventBridge).
- Solid SQL and data modeling skills (fact/dimension schemas, materialized views).
- Familiarity with BI tools like QuickSight, Metabase, or Superset.
- Good understanding of IAM, security, and data governance principles.
- Experience with Python (and libraries like awswrangler for data automation).
- Exposure to ETL/ELT frameworks (Glue, Airflow, dbt).
- Knowledge of data lake best practices (Parquet, partitioning).
- Comfort with infrastructure-as-code (Terraform/CDK).
- Understanding of multi-tenant SaaS reporting architectures.
At our company, we're dedicated to helping businesses build and scale with cutting-edge technology and innovative solutions.
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