The Database Engineer is a key IT professional responsible for the design and efficient use of an organization’s databases through collaboration with stakeholders. This role is critical in optimizing database architecture and integrations while maintaining best practices in data integrity, security, and performance.
Responsibilities:

Manage and optimize our Salesforce database, ensuring data integrity, availability, and performance.
Leverage DemandTools to schedule, run, and monitor data management tasks and cleanup procedures.
Manage and maintain our database integrations, ensuring seamless data flow between Salesforce and external systems.
Design and implement database structures, procedures, and workflows that align with the company's needs and objectives.
Develop and manage database integrations
Work closely with cross-functional teams to understand data requirements, and provide technical expertise.
Monitor system health, and perform regular backups, restorations, and updates as necessary.
Resolve database-related incidents and problems in a timely and efficient manner.
Develop and maintain documentation for database designs, processes, and best practices.
Provide training and support to users to ensure optimal system utilization.
Stay current with the latest Salesforce updates, tools, and best practices to drive continuous improvement.
Act as lead on duplicate management and prevention

MinimumQualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field.
Minimum of 3 years of experience as a Database Engineer or similar role with significant Salesforce exposure.
Experience with SaaS CRM/Lead Management data structures a big plus
Proven familiarity with DemandTools and Celigo integrations or equivalent tools.
Strong SQL skills and a deep understanding of relational database principles.
Excellent problem-solving abilities and attention to detail.
Strong communication skills, both written and verbal.
Familiarity with Salesforce best practices, trends, and the wider Salesforce ecosystem.
Ability to work both independently and in a team-oriented environment.
Database Management Systems (DBMS): Proficiency in working with various DBMS software, such as MySQL, PostgreSQL, Oracle, SQL Server, or MongoDB, depending on the organization's requirements.
Database Design: Understanding of database design principles, including data modeling, schema design, and normalization, to create efficient and effective databases.
SQL: Strong knowledge of SQL (Structured Query Language) to create, modify, and query databases. This includes writing complex queries, stored procedures, and triggers.
Data Security: Implementing and managing security measures to protect sensitive data, such as user access control, encryption, and auditing.