Principal Data Engineer

Summary

Join A Place for Mom as a Principal Data Engineer and lead the design, development, and support of our data platforms. You will be responsible for building scalable, high-performance solutions, collaborating with cross-functional teams, and mentoring a team of data engineers. This strategic role requires 10+ years of experience in data engineering, including at least 3 years in a leadership position. You will need advanced skills in Databricks, cloud platforms, SQL, Python, Spark, and ETL tools. A Place for Mom offers a collaborative and inclusive work environment, opportunities for professional growth, and a competitive compensation package including a base salary of $170k-$190k, a 30% bonus, and comprehensive benefits.

Requirements

• 10+ years in data engineering, with at least 3 years in a leadership role
• Demonstrated expertise in data warehouse design, ETL pipelines, and data quality frameworks
• Advanced skills in Databricks, Cloud Platforms (preferably-AWS or Azure or Google Cloud), SQL, Python, Spark, and ETL tools (preferably Fivetran)
• Proven ability to solve complex data engineering challenges and derive insights from large datasets
• Experience in mentoring data engineers on best practices and collaborating across diverse business functions
• Excellent written and verbal communication skills, capable of articulating technical concepts to non-technical stakeholders
• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred)

Responsibilities

• 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
• Ensure the performance, reliability, and optimization of the data warehouse infrastructure
• Establish standards for query performance, storage efficiency, and data processing workflows
• 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
• Implement robust data quality frameworks, including checks for accuracy, consistency, and completeness
• Define and enforce data governance practices to ensure compliance and security
• 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
• Develop monitoring systems to detect and resolve performance issues, anomalies, and data discrepancies
• Provide expert-level troubleshooting and support for complex technical challenges
• Maintain detailed documentation of systems, processes, and configurations
• Advocate for and implement coding standards, data governance policies, and security best practices

Preferred Qualifications

Experience with event tracking tools (e.g., Segment)

Benefits

• 401(k) plus match
• Dental insurance
• Health insurance
• Vision Insurance
• Paid Time Off
• Base Salary: $170k - $190k
• Bonus - 30% of annual earnings