Senior DataOps Engineer

Guild Mortgage Company is a mortgage banking firm dedicated to serving homeowners and buyers since 1960. The Senior DataOps Engineer is responsible for executing the organization’s data management and storage system strategy, ensuring timely access to secure and accurate data, while collaborating with various stakeholders to meet business needs.

Responsibilities:

• Execute DataOps projects from conception to deployment, ensuring timely, and successful delivery
• Implement automation tools and scripts to streamline data workflows and reduce manual intervention
• Implement monitoring and alerting systems to track the health and performance of data pipelines and storage systems and quickly resolve any issues that arise
• Ensure robust data pipeline and storage system security measures are in place and that data management practices comply with relevant regulations
• Implement and maintain disaster recovery plans and redundancy measures, ensuring data integrity and availability in case of failures
• Perform data migrations from existing databases to our Cloud environment, ensuring seamless transitions and data integrity
• Experience creating/maintaining standards, along with enforcing those standards, to provide lean, high performant data pipelines and storage systems while balancing overall costs
• Stay abreast of latest technology trends and participate in high-level decisions impacting the direction of the Information Technology function
• Aid Guild’s data transformation includes the support of new ways of working and generating insights
• Work closely with development, operations, and other teams to foster a culture of reliability, and provide feedback on system design and architecture for improved reliability

Requirements:

• Bachelors Degree directly related to the position or equivalent, preferred
• A combination of education and experience may be considered in lieu of the Bachelor's degree
• Minimum five years experience
• Experience with monitoring and alerting tools (i.e. Prometheus, Grafana, Datadog)
• Strong understanding of data quality principles and practices
• In-depth knowledge of Cloud storage services within AWS (Amazon RDS, Amazon Aurora, Amazon DynamoDB, Amazon Redshift, etc.) and Azure (Azure SQLDatabase, Azure database for MySQL, Azure Database for PostgreSQL, etc.)
• Familiarity with data security and privacy best practices, including encryption, access controls, and compliance requirements
• Experience with disaster recovery strategies
• Expert with performance monitoring, optimization, tuning and management
• Excellent verbal and written communication skills required
• Highly organized and detail-oriented; ability to work in a fast-paced, metrics-driven environment required
• Proficiency in Microsoft Office Suite, Word, Excel, Wiki, collaborative cloud-based programs, and third-party software applications required
• Commitment to company values
• Customer Service - Proactive attention to each person
• Integrity - Do and say what's right
• Respect - Treat others with dignity
• Collaboration - Listen and work together
• Learning - Seek knowledge and strive for improvement
• Excellence – Deliver the unexpected