Data Infrastructure Enhancement for Membership Engagement Insights

As a rapidly growing religious organization, we aim to deepen our understanding of member engagement through a robust data infrastructure. We are seeking a data engineer to design and implement a scalable data architecture incorporating real-time analytics and a data mesh approach. Key objectives include integrating various data sources using Apache Kafka for event streaming and employing Spark for real-time data processing. The project will also involve setting up data observability and MLOps pipelines to ensure data quality and facilitate predictive analytics using tools like Databricks and BigQuery. Additionally, dbt and Snowflake will be utilized for data transformation and storage. The goal is to generate actionable insights that enable our leadership to deliver personalized and timely services, enhancing community interaction and satisfaction.