Senior Data Architect
1 week ago
At Zeno Health, we're seeking a seasoned Senior Data Architect to lead our data engineering efforts. This highly skilled professional will be responsible for designing and implementing scalable data pipelines, managing ETL processes, and leveraging diverse data storage and processing frameworks.
The ideal candidate will have a strong background in Python, SQL, and modern big data technologies, with a proven track record of optimizing data infrastructure, enhancing data quality, and ensuring system observability. Collaboration with cross-functional teams to deliver reliable and cost-efficient data solutions is a key part of this position.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines to support analytics and operational needs while ensuring data quality and integrity.
- Enhance data quality and integrity through automated validation, error detection, and efficient data cleaning processes.
- Manage, monitor, and optimize large-scale data warehouses (e.g., Amazon Redshift or Google BigQuery), implementing schemas like Star and Snowflake.
- Develop, deploy, and enhance ETL processes using tools such as AWS Glue or Apache Airflow, ensuring data consistency and high performance.
- Work with SQL and NoSQL databases, employing the optimal approach for each use case.
- Ensure real-time data system observability by implementing monitoring solutions to provide visibility into data pipeline health and performance.
- Optimize data workflows and storage using Big Data frameworks.
- Strengthen system performance monitoring through proactive diagnostics and efficiency assessments.
Requirements:
- 8+ years of experience in data engineering, with a focus on scalability, performance, and data quality.
- Expertise in Python, SQL, and modern big data technologies, including Apache Spark and Hadoop (HDFS).
- Strong knowledge of data warehouse design and ETL processes, with experience working with AWS Glue or Apache Airflow.
- Ability to collaborate effectively with cross-functional teams, including data scientists, analysts, and business stakeholders.
This role offers a competitive salary of $150,000 - $180,000 per year, depending on experience, plus a comprehensive benefits package and opportunities for professional growth and development.
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