Full-Time Principal Data Engineer
A Place For Mom is hiring a remote Full-Time Principal Data Engineer. The career level for this job opening is Expert and is accepting New York, NY based applicants remotely. Read complete job description before applying.
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Principal Data Engineer
Lead the design, development, and support of data platforms, ensuring scalable, high-performance solutions for data-driven decisions.
Report to the Director of Data Platforms.
Collaborate with cross-functional teams to shape the future of data engineering.
- Data Architecture & Strategy
- Lead design, development, and implementation of scalable data architecture using Databricks on AWS.
- Define long-term strategies (technology roadmaps, data reference architecture, scalability plans, integration of emerging technologies).
- Data Warehouse Operations
- Ensure performance, reliability, and optimization of data warehouse infrastructure.
- Establish standards for query performance, storage efficiency, and data processing workflows.
- ETL Development & Pipeline Management
- Architect and oversee development of complex ETL pipelines to process and integrate data from multiple sources.
- Automate and streamline data ingestion, transformation, and delivery processes.
- Data Quality & Governance
- Implement robust data quality frameworks (accuracy, consistency, completeness).
- Define and enforce data governance practices for compliance and security.
- Collaboration & Leadership
- Partner with data scientists, product managers, and engineers to deliver solutions aligned with business goals.
- Mentor and guide data engineers, fostering innovation and continuous learning.
- 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.
- Documentation & Best Practices
- Maintain detailed documentation of systems, processes, and configurations.
- Advocate for and implement coding standards, data governance policies, and security best practices.
Experience: 10+ years in data engineering, 3+ years in leadership.
Technical Proficiency: Advanced skills in Databricks, AWS (S3), SQL, Python, Spark, Fivetran.
Experience with event tracking tools (e.g., Segment).
Problem-Solving Skills: Proven ability to solve complex data engineering challenges and derive insights from large datasets.
Mentoring & Collaboration: Experience in mentoring data engineers and collaborating across diverse business functions.
Communication: Excellent written and verbal communication skills, capable of explaining technical concepts to non-technical stakeholders.
Education: Bachelor's degree in Computer Science or related field (Master's preferred).
Why Join Us?
- Impactful mission-driven work
- Collaborative and inclusive environment
- Opportunity to drive innovation and lead high-visibility projects
Compensation: $170,000 - $190,000 base salary; 30% annual bonus.
Benefits: 401(k) match, Dental, Health, Vision, Paid Time Off.