Senior Database Engineer II

Job Description

SurveyMonkey is the world’s most popular platform for surveys and forms, built for business—loved by users. We combine powerful capabilities with intuitive design, effectively serving every use case, from customer experience to employee engagement, market research to payment and registration forms. With built-in research expertise and AI-powered technology, it’s like having a team of expert researchers at your fingertips. Trusted by millions—from startups to Fortune 500 companies—SurveyMonkey helps teams gather insights and information that inspire better decisions, create experiences people love, and drive business growth. Discover how at surveymonkey.com . What we’re looking for We are looking for an experienced database engineer to help SurveyMonkey evolve its data stores toward a cloud-native, globally distributed architecture. You are passionate about data, have strong hands-on expertise in both SQL Server and MySQL, and thrive in a collaborative engineering environment. You bring deep knowledge of relational and NoSQL databases and cloud-based database solutions, and you apply best practices to design, implement, and optimize data systems that are reliable, scalable, and secure. What you’ll be working on Partner with cross-functional engineering teams to design and implement scalable, reliable data store solutions for both online and analytical workloads Manage and optimize SQL Server and MySQL databases, including schema design, query tuning, replication, backup/recovery, and performance monitoring Implement and maintain data integration pipelines across heterogeneous data stores Follow and promote best practices for relational and NoSQL database design within engineering teams Collaborate with data engineering and data science teams to understand data challenges and deliver scalable, flexible solutions Contribute to data governance and security initiatives for the data platform Understand and troubleshoot issues across the full stack (hardware, software, and network) Design and build automation and tooling across the software development lifecycle, including provisioning, version control, CI/CD, and deployment Work with Software Engineering teams to implement solutions in support of product development; write stored procedures, scripts, etc. as needed Participate in the on-call rotation as needed Help shape future data strategy by researching emerging technologies and recommending solutions to support SurveyMonkey's evolving platform We’d love to hear from people with 7+ years of experience managing high-performing databases in production environments 5+ years of hands-on experience with strong SQL query skills, writing complex, highly optimized queries across large datasets for both administration and application data. 3+ years of hands-on experience designing, optimizing, and managing PostgreSQL databases in production environments. Strong expertise in SQL Server (clustering, high availability groups, vertical and horizontal partitioning) and MySQL (replication, partitioning, indexing, stored procedures, and performance tuning) 3+ years of experience writing and maintaining Terraform configurations to provision and manage cloud infrastructure. Hands-on experience with one or more vector databases such as Pinecone, Milvus, Qdrant, or pgvector. 2+ years of experience with cloud-based database solutions (AWS RDS, Aurora, DynamoDB, etc.) Bachelor's or Master's degree in Computer Science or a related field; AWS certification is a plus Solid understanding of relational and analytical database solutions, NoSQL data stores, and data warehouse concepts Experience with ETL development and highly available database architectures in both on-prem and cloud environments Experience with Windows and/or Unix systems administration Experience writing Python, Bash, PowerShell, or other scripting languages Experience with configuration management systems (Ansible is a plus) Experience working with virtualized environments Experience with repeatable automation at both the OS and database level Self-motivated, collaborative, and able to work effectively as part of a geographically dispersed team Strong communication skills with the ability to work across technical teams and present data modeling decisions clearly The base pay provided for this position ranges from CAD $95,200.00 / year - $137,000.00 / year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience. Bonuses may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; RRSP matching; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. This opening is for an existing vacancy. SurveyMonkey believes in-person co