Senior Analytics Engineer

Your role at Dynatrace

Dynatraces Data & Analytics organization is focused on building a scalable AI-ready self-service data ecosystem across the company. As a Senior Analytics Engineer you will play a key role in designing and delivering high-quality data products that support reporting self-service analytics and emerging AI use cases. This is a hands-on technical role for someone who excels at translating business needs into well-structured reliable analytical data assets.

You will work closely with business stakeholders data engineers platform engineers and BI teams to develop trusted scalable and well-governed addition you bring awareness of modern AI-assisted development workflows including tools such as GitHub Copilot or Claude and are comfortable leveraging these to improve productivity documentation and data model design. You will contribute to advancing our data modeling practices and help ensure that our data products are consistent reusable and aligned with business goals.

Key Responsibilities:

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

What will help you succeed

• Bachelors degree in Computer Science Information Systems Engineering or a related field
• 58 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 and the ability to leverage them to improve productivity development workflows and documentation.
• Experience or familiarity with Power BI including understanding of downstream reporting needs and the ability to support or contribute to BI development when needed

Preferred

• Masters 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

Why you will love being a Dynatracer

• Dynatrace is a leader in unified observability and security.
• We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance.
• Our employees work with the largest cloud providers including AWS Microsoft and Google Cloud and other leading partners worldwide to create strategic alliances.
• Youll get to work at the forefront of innovation with Dynatrace Intelligencethe industrys first agentic operations system. Bringing together deterministic and agentic AI it helps teams understand whats happening why it matters and what to do next automatically.
• Over 50% of the Fortune 100 companies are current customers of Dynatrace.

Compensation and Rewards