Full-Time Principal Data Engineer

As a Principal Data Engineer, you will lead the design, development, and support of our data platforms, ensuring scalable, high-performance solutions that empower data-driven decisions. You will report to the Director of Data Platforms.

In this strategic role, you’ll collaborate with cross-functional teams to shape the future of data engineering at A Place for Mom, driving innovation and best practices across the organization.

1. Data Architecture & Strategy: Lead the design, development, and implementation of scalable data architecture using Databricks on AWS. Define long-term strategies for data engineering, including technology roadmaps, data reference architecture, scalability plans, and integration of emerging technologies.
2. Data Warehouse Operations: Ensure the performance, reliability, and optimization of the data warehouse infrastructure. Establish standards for query performance, storage efficiency, and data processing workflows.
3. ETL Development & Pipeline Management: Architect and oversee the development of complex ETL pipelines to process and integrate data from multiple sources. Automate and streamline data ingestion, transformation, and delivery processes.
4. Data Quality & Governance: Implement robust data quality frameworks, including checks for accuracy, consistency, and completeness. Define and enforce data governance practices to ensure compliance and security.
5. Collaboration & Leadership: Partner with data scientists, product managers, and engineering teams to deliver solutions aligned with business goals. Mentor and guide a team of data engineers, fostering a culture of innovation and continuous learning.
6. Monitoring & Troubleshooting: Develop monitoring systems to detect and resolve performance issues, anomalies, and data discrepancies. Provide expert-level troubleshooting and support for complex technical challenges.
7. Documentation & Best Practices: Maintain detailed documentation of systems, processes, and configurations. Advocate for and implement coding standards, data governance policies, and security best practices.

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