Chief Data Solutions Architect
Há 7 dias
Job Overview
We are seeking experienced professionals to develop and deliver robust data products that power analytics, reporting, and decision-making.
Key Responsibilities- Build highly consumable data products by synthesizing data from diverse source systems.
- Ingest raw data using Fivetran and Python, staging and enriching it in BigQuery to provide consistent dimensions and metrics for downstream workflows.
- Design, maintain, and improve workflows that ensure reliable and consistent data creation, proactively addressing quality issues and optimizing for performance.
- Develop LookML Views and Models to democratize access to data products and enable self-service analytics in Looker.
- Deliver ad hoc SQL reports and support business users with timely insights.
- Secondary: Implement simple machine learning features into data products using tools like BQML.
- Build and maintain Looker dashboards and reports to surface key metrics and trends.
- Proven experience building and managing data products in modern cloud environments (GCP preferred).
- Strong proficiency in Python for data ingestion and workflow development.
- Hands-on expertise with BigQuery, dbt, Airflow, and Looker.
- Solid understanding of data modeling, pipeline design, and data quality best practices.
- Excellent communication skills and a track record of effective collaboration across technical and non-technical teams.
SQL, Python, BigQuery, dbt, Fivetran, Airflow, Google Cloud Storage, LookML, Looker.
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