Lead Database Architect

Company Description

Dynatrace provides software intelligence to simplify cloud complexity and accelerate digital transformation. With automatic and intelligent observability at scale, our all-in-one platform delivers precise answers about the performance and security of applications, the underlying infrastructure, and the experience of all users to enable organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort. That’s why many of the world’s largest organizations trust Dynatrace®️ to modernize and automate cloud operations, release better software faster, and deliver unrivalled digital experiences.

Job Description

Our Business Insights team is looking for a highly skilled and experienced Data Architect to help us unlock the full potential of the enormous data volume we receive every minute. In this role, you’ll own the data stack and architecture behind our data products. Responsibilities include:

• Design, develop, and maintain data platforms.
• Investigate, test, and deploy new tools for data and database management.
• Monitor databases to optimize database performance.
• Diagnose and troubleshoot database errors.
• Support existing infrastructure, integrate new features, and implement the organization’s future data architecture.
• Build and Implement automation for production deployment.
• Develop strategic solutions to recurring problems and resolve complex and high-scale data-related issues.
• Work with diverse teams and users, from data engineers to data analysts.
• Be a center of knowledge, consult, guide, support, and share your expertise with others.
• Manage scalability, error recovery, monitoring, alerting, and security.
• Deploy and manage physical data models.

Qualifications

Minimum Requirements:

• At least five years of experience in Data Architecture and Database Administration (ideally applied to BI systems).
• Strong expertise in SQL, Python, Terraform, and other programming languages.
• High proficient in query, index and performance tuning, stored procedures, and SQL coding.
• Strong DB administration skills for all DB maintenance plan activities, including backups, indexing, integrity, and consistency checks.
• 3+ years experience in troubleshooting and resolving database problems, performance tuning, and optimization
• Demonstrated ability to proactively identify, design, and implement process improvements like automating manual processes, optimizing data flow, increasing scalability, etc.
• Knowledge of Snowflake and AWS security features, including access control, authentication, authorization, encryption, masking, secured views, etc.
• 3+ years experience in working and maintaining Amazon Web Services.
• 3+ years experience with DevOps tools such as Kubernetes and Jenkins.

Preferred Requirements:

• Experience with Tableau and Dataiku is a plus.
• Experience delivering big data and machine learning solutions in a cloud environment.
• Expertise in Linux OS maintenance and bash programming.
• Ability to deal with ambiguity, prioritize needs, and deliver results in a dynamic environment.
• Degree in Engineering, Computer Science, Mathematics, or another quantitative field.

Additional Information

Expectation: All Insights team members are expected to travel at least 1 time per year for annual team meetings.