Company Overview
beqom is a high-growth B2B SaaS company that provides industry-leading tools for pay equity and transparency, compensation, and performance management. Trusted by some of the world’s most respected companies, beqom enables HR and business leaders to navigate global compliance and make smarter pay decisions that attract, retain, and motivate top talent. Founded in Switzerland and serving clients worldwide, our powerful, enterprise-ready products are fuelled by beqom pay intelligence. Role Objective The objective of this role is to serve as the subject matter expert for all aspects of data storage, processing, and retrieval.
This role owns the performance, integrity, and reliability of the organization's database systems and data pipelines.The mission is to engineer a data infrastructure that is robust, scalable, and efficient. This involves proactively optimizing database performance, guaranteeing data quality through well-architected ETL processes, and resolving the most complex data-related challenges to ensure application stability and support business intelligence needs.Key Responsibilities
- Database Architecture & Performance Tuning: Analyse and resolve deep architectural database problems. This includes identifying query bottlenecks, implementing optimisations (e.g., adding indexes), and designing schema modifications like correcting data types.
- Advanced Troubleshooting: Serve as the final escalation point for complex database issues, including the analysis and resolution of deadlocks, locking contention, and replication failures.
- ETL/Data Pipeline Optimization & Refactoring: Evaluate existing data pipelines for performance, scalability, and data quality. Take ownership of rewriting and re-architecting partial or entire ETL processes to meet current and future demands.
- Data Integrity & Governance: Establish and enforce best practices for data quality, consistency, and security. Design and manage comprehensive backup, restore, and disaster recovery strategies for all critical databases.
- Root Cause Analysis (RCA): Conduct definitive root cause analysis for all critical data-related incidents, documenting findings and implementing permanent preventative measures.
- Technical Guidance & Mentoring: Provide expert advice to L3 and Development teams on efficient data access patterns, query optimisation, and schema design best practices.
