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Principal Data Engineer

Company Description

A Place for Mom is the leading online resource connecting families searching for senior care with a team of expert advisors providing insight-driven, personalized solutions. As the nation’s largest senior care advisory service, A Place for Mom helps hundreds of thousands of families every year navigate the complexities of finding the right senior care solution for their loved ones across home care, independent living, memory care, assisted living, and more. Established in 2000 as a family business, A Place for Mom employees are deeply committed to the company mission to enable caregivers to make the best senior care decisions. A Place for Mom fosters, cultivates, and preserves a culture of diversity, equity, and inclusion.

Our employees live the company values every day:

  • Mission Over Me: We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy.
  • Do Hard Things: We are energized by solving challenging problems and see it as an opportunity to grow.
  • Drive Outcomes as a Team: We each own the outcome but can only achieve it as a team.
  • Win The Right Way: We see organizational integrity as the foundation for how we operate.
  • Embrace Change: We innovate and constantly evolve.

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

  • 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

#LI-AR1

#LI-REMOTE

Additional Information

All your information will be kept confidential according to EEO guidelines. 

A Place for Mom uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.

Average salary estimate

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$170000K
$190000K

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What You Should Know About Principal Data Engineer, A Place for Mom

Are you looking for an exciting opportunity to make a real impact in the lives of families seeking senior care? A Place for Mom, the nation's leading online resource for senior care, is on the hunt for a Principal Data Engineer in New York, NY. In this strategic role, you'll dive deep into the design, development, and support of our data platforms, ensuring they are scalable and high-performing. With responsibilities that range from defining data architecture and overseeing complex ETL pipelines to enforcing data quality and governance practices, your skills will be crucial in driving innovation at A Place for Mom. Join a collaborative team where you can lead others while continuously growing your expertise. You’ll work closely with data scientists and product managers, enabling data-driven decisions that transform family experiences in finding the right elder care solutions. We emphasize a culture of inclusion and teamwork, where challenges are embraced as opportunities. As you help shape the future of data engineering within our organization, your leadership will inspire others while fostering a climate of continuous learning. Plus, being part of a mission-driven company means that your work truly matters. With a competitive salary and excellent benefits, A Place for Mom is ready to welcome you aboard as we innovate the senior care landscape together!

Frequently Asked Questions (FAQs) for Principal Data Engineer Role at A Place for Mom
What responsibilities does a Principal Data Engineer have at A Place for Mom?

A Principal Data Engineer at A Place for Mom is responsible for leading the design and implementation of scalable data architectures utilizing Databricks on AWS. This role involves overseeing data warehouse operations, ETL development, pipeline management, data quality, and governance. The Principal Data Engineer also collaborates with cross-functional teams and mentors junior engineers, ensuring best practices and driving innovation across the organization.

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What qualifications are required for the Principal Data Engineer position at A Place for Mom?

Candidates for the Principal Data Engineer position at A Place for Mom should have at least 10 years of experience in data engineering, with a minimum of 3 years in a leadership role. Proficiency in tools such as Databricks, AWS, SQL, Python, and Spark, along with strong problem-solving skills and the ability to mentor others, are crucial for success in this role.

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How does A Place for Mom support professional growth for a Principal Data Engineer?

A Place for Mom fosters a collaborative and inclusive work environment that emphasizes professional growth. As a Principal Data Engineer, you'll have the opportunity to lead impactful projects, mentor junior team members, and actively participate in shaping the company's data strategy. Continuous learning is encouraged, and the organization is committed to innovation as a core value.

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What is the compensation and benefits package for a Principal Data Engineer at A Place for Mom?

The compensation for a Principal Data Engineer at A Place for Mom ranges from $170k to $190k, with an additional bonus structure of 30% of annual earnings. Employees also enjoy a comprehensive benefits package that includes 401(k) matching, health, dental, and vision insurance, as well as paid time off, making it a competitive offer within the industry.

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What is the work culture like at A Place for Mom for a Principal Data Engineer?

The work culture at A Place for Mom is centered on diversity, equity, and inclusion. As a Principal Data Engineer, you'll experience a collaborative environment where teamwork is valued, and individual contributions are recognized. The organization encourages innovation, adaptability, and a strong sense of mission, allowing employees to thrive while making a meaningful difference in the lives of seniors and their families.

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Common Interview Questions for Principal Data Engineer
Can you explain your experience with ETL pipeline development for the Principal Data Engineer role at A Place for Mom?

When answering this question, provide specific examples of ETL pipelines you've designed or improved. Highlight your proficiency in tools like Fivetran and the strategies you used to automate data ingestion and transformation. Discuss challenges you faced and how you overcame them, emphasizing your problem-solving skills.

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How do you ensure data quality and governance as a Principal Data Engineer?

Discuss the frameworks and processes you've employed to maintain data quality. Explain how you establish standards for accuracy, consistency, and completeness, and share any experience with implementing data governance practices. Providing examples of successful projects will demonstrate your expertise in this area.

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What strategies do you use for optimizing data warehouse performance?

Emphasize your understanding of query performance, storage efficiency, and workflow design in optimizing data warehouses. Provide insights into specific techniques or tools you've implemented, and mention any metrics or results from past projects to back up your answer.

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How do you foster a culture of innovation within your team as a Principal Data Engineer?

Share your approach to mentoring and encouraging team members to explore new technologies or best practices. Highlight any initiatives you've led to promote continuous learning or collaborative problem-solving, showcasing your leadership style.

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What experience do you have with cloud platforms, specifically AWS, for the Principal Data Engineer position?

Discuss your hands-on experience utilizing AWS services, such as S3, in previous data engineering roles. Provide examples of how you've leveraged these tools for data storage, processing, or analytics, and explain your familiarity with best practices in cloud-based environments.

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How do you approach working with non-technical stakeholders to communicate complex concepts?

Explain your techniques for translating technical jargon into relatable terms. Share examples of past experiences where you successfully communicated data engineering concepts to non-technical teams or stakeholders and outline the positive outcomes that resulted.

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What is your philosophy on collaboration in a cross-functional team?

Share your belief in the importance of collaboration and how you facilitate it within teams. Discuss how you structure communication between data engineers, product managers, and data scientists to ensure alignment with business goals, using specific examples from your career.

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Can you describe a challenging data engineering problem you solved and the impact it had?

Provide a detailed description of a complex data engineering challenge you've faced. Explain how you approached the problem, the solution you implemented, and the results achieved. Focus on measurable impacts for the business or improvements in data processing.

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What role do you see data engineering playing in the future of senior care at A Place for Mom?

Discuss how data engineering can transform insights and improve decision-making processes in the senior care space. Share your vision for leveraging technology and data innovation to enhance family experiences and optimize care solutions.

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Why do you want to work as a Principal Data Engineer for A Place for Mom?

Share your motivation for joining A Place for Mom, emphasizing your alignment with the company’s mission to improve the lives of seniors and families. Discuss your passion for using data to create impactful solutions and how your skills can contribute to the organization’s goals.

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A Place for Mom’s mission is to enable caregivers to make the best senior living decisions. We simplify the process of finding the right senior care solution by offering deep knowledge, critical information, personalized and unbiased guidance, and...

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Full-time, remote
DATE POSTED
December 12, 2024

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