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Data Architect Opportunity
2 weeks ago
Job Summary
We are seeking a skilled Data Architect to design and develop scalable data pipelines and models that drive informed business decisions. This role involves leveraging modern data tools, cloud technologies, and collaborating with cross-functional teams to deliver high-quality and reliable data solutions.
Main Responsibilities- Data Pipeline Design: Utilize Python, SQL, and Airflow to create and optimize extract, transform, and load (ETL)/extract, load, transform (ELT) pipelines that ensure seamless data integration.
- Data Modeling & Warehousing: Develop and maintain data models and warehouses using Snowflake, Redshift, or ClickHouse to support business intelligence and analytics.
- Integration & Optimization: Integrate data from APIs, databases, and cloud platforms such as AWS/Azure/GCP, and optimize SQL queries for improved performance and data quality.
- Collaboration & Mentorship: Collaborate with analysts, scientists, and DevOps teams; mentor junior engineers to enhance team capabilities.
- 5–10 years of experience in data engineering.
- Strong expertise in Python, SQL, and data modeling.
- Experience with data lakes, warehouses, and orchestration tools (Airflow/Talend).
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Bonus: PySpark, Docker, CI/CD, and monitoring tools (Grafana, CloudWatch).