4. PERFORMANCE STRENGTHS
Evelyn’s paramount strength is her proactive approach to database health. She does not wait for monitoring
alarms in Datadog to trigger; she continuously audits execution plans and data models to ensure long-term
scalability. Her adoption of modern infrastructure-as-code (Terraform) to deploy database clusters demonstrates
a progressive, automated mindset rarely seen in traditional database administration. Furthermore, Evelyn is an
excellent cross-functional partner. She frequently pairs with backend software engineers to review their object-
relational mapping (ORM) queries, educating them on how to interact with the database optimally to prevent N+1
query issues.
5. CONSTRUCTIVE FEEDBACK & AREAS FOR GROWTH
To prepare for a Lead Data Architect role, Evelyn should focus on the following developmental areas:
Capacity Planning Forecasting:
While Evelyn is excellent at optimizing query speed and reducing storage
costs reactively, she should take stronger ownership of cloud expenditure forecasting. She should proactively
redesign data structures to minimize unnecessary IOPS and present monthly cost-projection reports to
leadership before major feature launches.
Formal Knowledge Sharing:
Many junior developers struggle with understanding database concurrency and
locking mechanisms. Evelyn should formalize her knowledge sharing by hosting monthly "Database Best
Practices" engineering lunch-and-learns, scaling her expertise across the entire software development
organization.
6. FUTURE ROADMAP & DEVELOPMENT PLAN (FY2027)
Goal 1 (Data Warehousing):
Lead the data-pipelining initiative to export raw transactional data into
Snowflake for advanced business intelligence querying via an automated dbt workflow by Q2.
Goal 2 (Security Automation):
Implement an automated database vulnerability scanner to proactively detect
misconfigured public endpoints or unencrypted data at rest.
Goal 3 (Professional Certification):
Attain the AWS Certified Database - Specialty certification to formalize
her expertise in cloud-native database architecture.
Goal 4 (Performance Baselines):
Establish and document strict SLA performance baselines for all internal
microservices communicating with the core databases, setting up automated alerts for any query exceeding
500ms.
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DBA-EVAL-2026 | Page 3
