Senior Manager, Data Engineering

Summary

Join HappyCo, a values-driven company with a flexible and supportive culture, as a Senior Manager of Data Engineering. You will drive the development and execution of data initiatives, ensuring alignment with company goals. This critical role involves shaping data architecture, warehousing, analytics, and reporting to enable data-driven decision-making. You will collaborate across departments, develop scalable data infrastructure, and lead a small team, providing mentorship and technical guidance. HappyCo offers a remote-work option, unlimited vacation, generous parental leave, competitive pay with stock options, and wellness stipends.

Requirements

• 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
• 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

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

Preferred Qualifications

Experience working with cloud platforms such as AWS, Azure, or GCP

Benefits

• 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