Database Engineer - Professional Archive Search

Smarsh is a company focused on data compliance solutions, and they are seeking a Database Engineer for their Professional Archive Search team. This role involves designing, scaling, and maintaining data infrastructure to ensure high performance and reliability, while collaborating with cross-functional teams to optimize data solutions.

Responsibilities:

• Support and empower your team by contributing to a collaborative, inclusive, and respectful work environment
• Partner with engineers and stakeholders across teams to design and implement scalable data solutions
• Participate in a shared on-call rotation to support system reliability and incident response with a focus on learning and prevention
• Collaborate with Product and Engineering to define technical requirements, timelines, and deliverables
• Apply modern engineering practices, including Agile methodologies, CI/CD pipelines, and DevOps principles
• Review code and database changes, identify areas for improvement, and help reduce technical debt
• Troubleshoot and resolve production issues to maintain high availability and performance
• Continuously learn about emerging technologies and evaluate how they can benefit the team
• Monitor database health and performance using tools such as Splunk, Datadog, and Grafana

Requirements:

• Experience working in a modern private cloud-based environment and familiarity with distributed systems
• Exposure to some of our technology stack, along with a willingness to learn new tools and technologies
• Experience designing logical and physical data models, including schema design and data relationships
• Ability to monitor and optimize database performance, including tuning queries and indexing strategies
• Understanding of data security practices such as encryption, access controls, and auditing
• Experience troubleshooting database issues and supporting systems that require high availability
• Ability to plan for data growth and scale infrastructure to meet future needs
• A collaborative mindset, with openness to feedback and different perspectives
• Understanding of modern development practices and Agile methodologies
• Ability to communicate progress, challenges, and ideas clearly
• Comfort working in evolving environments where requirements may change over time
• A proactive approach to problem-solving and cross-functional collaboration
• Around 4+ years of experience in database engineering or a related field
• Experience with search technologies such as Solr, Lucene, or Elasticsearch
• Strong proficiency in SQL, including query plan optimization and indexing
• Experience with database systems such as MySQL, PostgreSQL, or MS SQL Server
• Experience migrating data, queries, functions, tables between different database systems
• Familiarity with Linux-based systems
• Experience writing scripts or automation tools (e.g., Python, Java, or similar languages)
• Exposure to messaging systems such as Kafka or AMQ
• Participation in open-source projects or technical communities