You will work on different projects to help Astrafy customers get the most out of their data. You will work on the business and technical sides of the customer usecase, bridging the gap between raw cloud infrastructure and business-ready insights.
On the business side:
Architect Tailored Solutions: Translate client business goals into highly scalable, cost-efficient data platform designs combining Google Cloud’s power with open-source flexibility.
Democratize Insights: Design and deploy modern exposition layers to keep insights accessible and cost-effective.
Implement Data Governance: Set up automated data quality, lineage, monitoring frameworks and access management to guarantee high-trust data across business units.
On the technical side:
Build Scalable Pipelines: Design and maintain robust ELT pipelines, generally powered by Apache Airflow and dbt Core, optimized for Google BigQuery.
Automate with IaC: Provision and manage GCP infrastructure (Cloud Storage, Pub/Sub, Cloud Functions) using Terraform, adhering to clean, declarative GitOps workflows.
Enforce Software Rigor: Set up robust CI/CD pipelines (e.g., GitHub Actions) to automate testing, linting, and zero-downtime deployment of dbt and Airflow workflows.
In addition to these core responsibilities, we strongly value knowledge-sharing and community engagement. At Astrafy, we are active contributors on platforms like Medium, where we regularly publish articles to share our expertise, insights, and innovations, helping to grow both our community and industry presence.
As part of the role, the candidate will also be encouraged to write articles, offering valuable insights and thought leadership to enhance Astrafy's impact further and foster greater collaboration within our field.