Senior Analytics Engineer

Dynatrace’s Data & Analytics organization is focused on building a scalable, AI-ready, self-service data ecosystem across the company. Dynatrace is a one-product software company creating real value for the largest enterprises and millions of end customers globally.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
• 5–8+ years of experience in analytics engineering, data modeling, or related roles with strong focus on SQL programming
• Strong SQL skills, including experience with complex analytical queries and performance optimization
• Solid hands-on experience with dbt Cloud, including models, tests, and documentation practices
• Experience working with Snowflake, including query tuning and understanding of warehouse performance
• Strong understanding of dimensional modeling (Kimball) concepts including star schemas, conformed dimensions, and slowly changing dimensions
• Experience working within established analytics engineering or data modeling frameworks and standards
• Ability to work independently on complex tasks while collaborating effectively with cross-functional teams
• Strong communication skills, with the ability to translate technical concepts for business stakeholders
• Experience with data quality validation, testing approaches, and governance alignment
• Proficiency with Git/GitHub workflows including pull requests and code reviews
• Proven experience with AI-assisted development tools such as GitHub Copilot, Claude, or similar
• Experience or familiarity with Power BI, including understanding of downstream reporting needs and ability to support or contribute to BI development

Preferred:

• Master’s degree in a related field
• Python experience for automation, scripting, or data validation
• Exposure to semantic layer concepts or metric frameworks (e.g., dbt Semantic Layer, Cube, AtScale)
• Familiarity with AI/ML data readiness, feature engineering concepts, or designing data for downstream advanced analytics use cases
• Experience with data ingestion tools such as Fivetran
• Exposure to enterprise systems such as Salesforce, NetSuite, or SuccessFactors

Data Product Design & Development:

• Design and develop scalable analytical data models, curated datasets, conformed dimensions, and standardized metrics
• Translate complex business requirements into clear, reliable, and reusable data products that support both executive reporting and day-to-day analytics use cases
• Contribute to designing data models and metadata structures with AI readiness in mind, including column-level descriptions, consistent naming conventions, and well-documented semantic context
• Build and maintain data structures that support discoverability and usability across analytics, BI, and emerging AI/ML use cases

Standards, Quality & Governance:

• Follow and contribute to established standards and best practices for SQL development, dbt modeling, testing, documentation, and data quality
• Support the implementation of the semantic layer by ensuring metric definitions and business logic are consistently applied
• Implement and maintain data quality checks, governance standards, and security measures within dbt models and Snowflake
• Help ensure data models are well-tested, documented, and aligned with business definitions

Collaboration & Technical Contribution:

• Partner with data engineers, platform teams, governance, and business stakeholders to gather requirements and deliver data solutions
• Collaborate with team members through code reviews, knowledge sharing, and adoption of best practices
• Contribute to cross-functional initiatives focused on improving standardization, consistency, and reuse of analytics assets
• Identify opportunities to improve processes, enhance automation, and streamline development workflows

Dynatrace provides equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic.