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Senior Manager, Data Engineering

HappyCo is a company where people can grow their careers and work with like minded people, with no egos or politics. HappyCo is values driven and offers a flexible, supportive culture. Join HappyCo and Make Work Happy!


We’re looking for an experienced (Senior) Manager of Data Engineering to join our team.

 

HappyCo is seeking an experienced and strategic Senior Manager of Data Engineering to drive the development and execution of our data initiatives, ensuring alignment with the company’s goals and product roadmap. This role will play a critical part in shaping our data architecture, warehousing, analytics, and reporting to enable data-driven decision making across the organization.


As a key collaborator, the Senior Manager of Data Engineering will work across departments to understand business data needs, developing and maintaining scalable data infrastructure to support storage, reporting, and security. This role will oversee ETL/ELT pipeline development, implement data governance best practices, and ensure cost-effective utilization of cloud services and tooling.


Additionally, this person will lead a small but impactful team, providing mentorship and technical guidance while fostering a culture of collaboration and continuous improvement.


Core Responsibilities:

 

●      Support and execute the data strategy to align with company goals and the product roadmap

●      Oversee technical execution for data-related initiatives, including data architecture, warehousing, analytics, and reporting

●      Collaborate with stakeholders across departments to understand and address data and insight needs

●      Develop and maintain scalable and secure data infrastructure to support storage, reporting, and security requirements

●      Implement best practices for building and maintaining ETL/ELT pipelines and ensure effective data governance

●      Lead and mentor a small team of data engineers, fostering professional growth and collaboration

●      Monitor and optimize the cost and performance of data products, cloud services, and third-party tooling


What we think you need to be successful
  •  5+ years of experience in data engineering, data warehousing, or enterprise reporting, with a strong track record of executing data strategies
  • Hands-on experience with BI and data warehouse tools, databases, and data modeling (relational, document-based, SQL, NoSQL)
  •  Strong expertise in data modeling techniques and strategies to ensure efficient, scalable data structures
  •   Proficiency in programming and scripting (Python, SQL, Bash preferred) for data pipeline development and automation
  •   Experience working with cloud platforms such as AWS, Azure, or GCP (preferred)
  •   Proven leadership skills, with experience managing and mentoring junior data engineers and/or analysts
  •  Process improvement mindset, identifying and implementing efficiencies in data workflows and infrastructure
  •  Excellent communication and collaboration skills, with the ability to translate complex technical concepts into business-friendly language


Keys to happiness at HappyCo
  •      Pushing forward in ambiguity while striving for clarity
  •      Prioritizing for sustained impact vs helping in the moment
  •      Empowering teams instead of enforcing standards
  •      Leveraging technology to serve humanity in a way that is accessible
  •      Being a proactive contributor to the design and research team culture, with a strong growth mindset
  •      Experience and understanding of early-stage startups and challenges
  •      Experience within the multifamily residential property industry
  •      Previous research experience in an Enterprise B2B SaaS context where complex workflows and systems have been tackled


Technologies Used
  • Cloud Platforms & Services: Google Cloud Platform (GCP) - including BigQuery, Cloud Storage, Datastream, Cloud SQL, Pub/Sub, Cloud Functions, and other key GCP services for scalable data infrastructure
  •  Data Engineering & Processing: Databricks
  • Databases & Storage: PostgreSQL, MySQL, and NoSQL solutions (such as Bigtable, MongDB, DocumentDB)
  • AI & Machine Learning: GCP Vertex AI, GCP Gemini AI, and OpenAI models for predictive analytics, automation, and data-driven decision-making
  • Business Intelligence & Visualization: Looker & LookML, plus experience with complementary BI tools like Tableau or PowerBI for enhanced reporting and analytics


About HappyCo 

Founded in 2011, HappyCo (happy.co) builds mobile and cloud solutions to enable real-time property data. Our flagship product suite 'Happy Property’ has more than 5 million units on its platform. 


We’re everyday people with a shared purpose — improving the lives of others. Our team is made up of thinkers, talkers, planners, makers, builders and everything in between. Together, we’re turning our passions into happier communities!  


When customers use our software, their communities get stronger. Our tools empower everyone in multifamily property management to improve their operations and maximize returns, which means they’re building better experiences for their residents. Learn more about our Product Vision here!


Our HappyCo Culture

HappyCo strives to build better communities. So naturally, we are dedicated to making our own community an enjoyable place that allows us do our best work. We’re devoted to building an inclusive, supportive culture that empowers each HappyCo’er to succeed and grow. To learn more about our culture, check out our careers page


We Offer:

- Work from anywhere supported by a flexible company culture

- Opportunity to work for one of the fastest growing technology companies in the PropTech industry

- Unlimited vacation time

- Generous paid parental leave

- Competitive and equitable pay, including stock options

- Monthly stipends to support Wellness and Home Office expenses


Find out more about our US Employee Benefits here!


We believe in supporting people to do their best work and thrive, and building a diverse, equitable, and inclusive company is core to our mission. Our goal is to ensure that HappyCo upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, and veteran status. HappyCo is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.


A note to Recruitment Agencies: Please don’t reach out to us about our roles -- we’ve got it covered. We don’t accept unsolicited agency resumes and HappyCo is not responsible for any fees related to unsolicited resumes.

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What You Should Know About Senior Manager, Data Engineering, HappyCo

At HappyCo, we pride ourselves on fostering a workplace where growth and collaboration flourish. We're excited to invite a talented Senior Manager, Data Engineering to join our fully remote team across the USA. You’ll be at the forefront of driving our data initiatives, shaping our data architecture, and building a robust infrastructure that supports our vision. As our Senior Manager of Data Engineering, you'll lead a small yet dynamic team, empowering them to excel while enhancing our data strategy. With a keen eye for aligning data practices with company goals, you’ll work with multiple departments to identify their unique data needs, ensuring we maintain scalable, secure systems for efficient storage and insightful reporting. Your expertise in ETL/ELT processes and cloud solutions will be invaluable as you implement best practices for data governance and oversee the technical execution of data projects. HappyCo is all about pushing boundaries and inspiring brilliance in a supportive environment. If you're ready to embrace ambiguity, foster teamwork, and help us empower multifamily property management with innovative tech, we want to hear from you. Join us at HappyCo and help make work happy for all!

Frequently Asked Questions (FAQs) for Senior Manager, Data Engineering Role at HappyCo
What are the key responsibilities of a Senior Manager, Data Engineering at HappyCo?

The Senior Manager, Data Engineering at HappyCo plays a pivotal role in steering data strategy initiatives aligned with our business goals. You'll oversee the development of data architecture, warehousing, analytics, and ensure effective reporting. A significant part of your role involves collaborating with different departments to address their data needs, while also managing a small team of data engineers and maintaining high standards for data governance.

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What qualifications are required for the Senior Manager, Data Engineering position at HappyCo?

To excel as the Senior Manager, Data Engineering at HappyCo, candidates should possess at least 5 years of experience in data engineering and have hands-on experience with BI tools and databases. Proficiency in programming languages like Python and SQL, alongside experience in cloud platforms such as AWS or GCP, is essential. Leadership capabilities and a passion for process improvement also play a crucial role in this position.

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What technologies will the Senior Manager, Data Engineering work with at HappyCo?

In your role as Senior Manager, Data Engineering at HappyCo, you'll work with advanced technologies including Google Cloud Platform (GCP) services like BigQuery and Databricks for data processing. You’ll also utilize various databases, from PostgreSQL to NoSQL solutions, and leverage AI and machine learning tools for innovative data-driven decision-making.

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What kind of work culture can a Senior Manager, Data Engineering expect at HappyCo?

HappyCo boasts a flexible, inclusive culture that emphasizes teamwork and personal growth. As a Senior Manager, Data Engineering, you’ll find a supportive environment that encourages innovation and values input from all team members. Our goal is to empower every HappyCo’er to thrive in their roles and contribute towards our mission of improving lives through technology.

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What opportunities for growth exist for a Senior Manager, Data Engineering at HappyCo?

At HappyCo, the position of Senior Manager, Data Engineering comes with ample opportunities for personal and professional growth. You’ll be leading a talented team, mentoring junior engineers, and have the chance to enact substantial changes in our data practices. Your contributions will be key in shaping not just the team’s direction but also the future of data strategy within the company, while aligning your career path with company goals.

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Common Interview Questions for Senior Manager, Data Engineering
Can you explain your experience with ETL/ELT processes as they relate to data engineering?

When discussing your experience with ETL/ELT processes, focus on specific projects where you implemented these strategies. Highlight any tools you've used and how you ensured data integrity and efficiency throughout the processes. Be prepared to discuss how you tackled challenges during implementation and the impact your solutions had on the team or company.

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How do you approach collaborating with other departments to address their data needs?

To answer this question, showcase your ability to communicate technical concepts in a way that resonates with non-technical stakeholders. Provide examples of how you have successfully gathered requirements from different departments, tailored data solutions to their unique needs, and adapted the data infrastructure to empower cross-departmental decision-making.

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What key metrics would you track to evaluate the effectiveness of our data infrastructure?

Discuss various metrics such as data retrieval speeds, storage capacity, query performance, and data accuracy. Explain how monitoring these metrics can inform improvement endeavors and drive operational efficiencies. It's also a good opportunity to mention any tools or methodologies you prefer for tracking these metrics.

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Describe your leadership style when mentoring a team of data engineers.

When discussing your leadership style, emphasize your emphasis on empowerment and collaboration. Highlight how you guide your team towards achieving their goals, while also encouraging autonomy and innovation. Provide an example of how you’ve helped a team member develop a skill or overcome a challenge, illustrating the positive impact of your mentorship.

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What strategies do you employ to optimize data performance and costs?

This is an opportunity to showcase your analytical thinking. Discuss strategies such as data lifecycle management to archive or delete unnecessary data, reviewing service plans with cloud providers for cost optimization, and configuring data pipelines for efficiency. You might also reference how you've applied these strategies in previous roles to yield significant savings.

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How do you ensure data security and compliance in your data projects?

Explain the processes you put in place for maintaining data security, such as implementing data governance policies, user access controls, and regular audits. Discuss familiarity with compliance standards relevant to data management and how you've ensured teams adhere to these guidelines in past projects.

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Can you talk about a complex data project you managed and the outcomes?

Provide a detailed account of a project that challenged your skills and problem-solving abilities. Discuss the objectives, your approach to managing timelines and resources, the technologies and techniques you employed, and the impact your work had on the organization. Highlight any lessons learned.

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How do you stay informed about the latest trends in data engineering?

Show your commitment to continuous learning by discussing resources you engage with, such as industry publications, online courses, webinars, or networking events. Mention any communities you’re a part of where professionals share insights, as well as how you apply new knowledge to your work.

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What is your experience with cloud platforms relevant to data engineering?

Detail your experience with platforms like AWS, Azure, or GCP, specifying the services and tools you have utilized. Discuss how you've leveraged these platforms to solve real-world problems and their importance in building scalable data solutions. Feel free to mention specific projects where these were key to achieving outcomes.

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How do you handle ambiguity and uncertainty in data projects?

This question is an opportunity to outline your approach to problem-solving when faced with challenges. Share specific strategies you use to gain clarity, such as focusing on data-driven decision-making, iterative development, and engaging in open discussions with team members to find solutions collaboratively.

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Full-time, remote
DATE POSTED
March 31, 2025

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