Job Description
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.
Key Responsibilities:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Qualifications: Qualifications
- Experience: 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.
- Technical Proficiency:
- Advanced skills in Databricks, AWS (e.g., S3), SQL, Python, Spark, and ETL tools like 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 on best practices and collaborating across diverse business functions.
- Communication: Excellent written and verbal communication skills, capable of articulating technical concepts to non-technical stakeholders.
- Education: Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred).
Why Join Us?
- Impactful mission-driven work improving the lives of families and seniors.
- Collaborative and inclusive work environment fostering professional growth.
- Opportunity to drive innovation and lead high-visibility projects in a fast-growing organization.
Join us in shaping the future of senior care through technology and data innovation!
Compensation:
- Base Salary: $170k - $190k
- Bonus - 30% of annual earnings
- Benefits:
- 401(k) plus match
- Dental insurance
- Health insurance
- Vision Insurance
- Paid Time Off
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Additional Information
All your information will be kept confidential according to EEO guidelines.
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