
Unlock Scalable Business Insights as a Data Architect
20 hours ago
About a tech-first company solving real-world problems with clean code, thoughtful design, and fast iterations. The team is lean, product-driven, and obsessed with delivering value through scalable data platforms and applications.
This role involves building and maintaining data pipelines connecting various systems for business insights.
Key Responsibilities:- Designing and implementing data models to support fast reporting and analytics.
- Automating scheduled reporting workflows and exports for clients and stakeholders.
- Collaborating with cross-functional teams to deliver actionable insights quickly.
- Ensuring the performance, reliability, and scalability of 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.
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