Key skills
Data EngineeringData WarehousingLookerCloud PlatformsData ModelingPythonSQLBashProcess ImprovementLeadershipCommunicationCollaborationNoSQLETLELTAnalyticsBIAWSAzureGCPSaaSMentoringDecision Making
About this role
HappyCo is a company where people can grow their careers and work with like minded people, with no egos or politics. The Senior Manager of Data Engineering will drive the development and execution of data initiatives, shaping data architecture and overseeing ETL/ELT pipeline development to enable data-driven decision making across the organization.
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
Requirements:
- 5+ years of experience in data engineering, data warehousing, or enterprise reporting, with a strong track record of executing data strategies
- Proficiency with Looker is required
- 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
- Experience working with cloud platforms such as AWS, Azure, or GCP
- 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