As a Principal Data Engineer you will lead the design development and support of our data platforms ensuring scalable highperformance solutions that empower datadriven decisions. You will report to the Director of Data Platforms. In this strategic role youll collaborate with crossfunctional 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 longterm 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 expertlevel 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 :
- 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:
- Must Have: Advanced skills in Databricks Cloud Platforms (preferablyAWS or Azure or Google Cloud) SQL Python Spark and ETL tools (preferably Fivetran).
- Nice to Have: Experience with event tracking tools (e.g. Segment).
- ProblemSolving 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 nontechnical stakeholders.
- Education: Bachelors degree in Computer Science Engineering or a related field (Masters preferred).
Why Join Us
- Impactful missiondriven work improving the lives of families and seniors.
- Collaborative and inclusive work environment fostering professional growth.
- Opportunity to drive innovation and lead highvisibility projects in a fastgrowing 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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Remote Work :
Yes
Employment Type :
Fulltime