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As a Lead Solution Architect, you will develop and implement technology solutions aligned with business strategies, focusing on Dynatrace's Service Cloud platform and being responsible for enhancing system architecture and performance.
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Your role at Dynatrace
We are seeking an experienced and innovative Principal Analytics Engineering Manager to lead the design and development of advanced marketing analytics solutions that empower our marketing efforts. The successful candidate will play a pivotal role in building scalable marketing measurement models, and providing actionable insights that drive marketing strategies. This role is an exceptional opportunity for someone passionate about blending analytics engineering expertise with marketing analytics to make a direct business impact.
Key Responsibilities:
Measurement Modeling: Design and develop scalable, reliable, and efficient marketing measurement models that support marketing analytics and reporting needs. Partner with our central business intelligence team to build and maintain the models.
Marketing Data Integration: Lead efforts to integrate data from various marketing tools (e.g., CRM platform, Marketing automation platform, Marketing attribution platform, Social media channels, Digital analytics platforms, etc.) into our centralized data platforms in partnership with our central business intelligence and architecture teams.
Marketing Analytics Enablement: Collaborate with marketing and analytics teams to provide clean, structured, and timely data that drives insights and decision-making.
Tool Development: Build custom tools and workflows for marketing teams to improve data accessibility and self-service capabilities.
Data Governance: Establish and enforce best practices for data quality, integrity, and security within marketing that align with the organization's compliance requirements including data cataloging and documentation.
Collaboration & Leadership: Act as the primary point of contact for marketing data platform-related initiatives, effectively communicating with stakeholders across various teams and at all levels of the organization. Provide data leadership and influence other members of the analytics teams across the company on good data and measurement practices.
What will help you succeed
Minimum Qualifications:
Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
Experience: 8+ years of experience in data engineering, with at least 3 years focusing on B2B marketing or B2B sales related data.
Advanced knowledge of SQL and Snowflake or similar data warehousing platforms (e.g., Redshift, or BigQuery).
Strong knowledge in building and analyzing marketing attribution models and customer segmentation.
Strong experience working with data from Salesforce, Marketo and other marketing platforms (Google Ads, LinkedIn Ads, 6sense).
Hands-on experience with Alteryx, dbt or similar data transformation and ETL/ELT tools.
Experience working with Power BI or similar BI tools (e.g. Tableau or Looker).
Preferred Qualifications:
Understanding of machine learning and predictive analytics models in a marketing context.
Experience in programming languages such as Python and R
Familiarity with data privacy regulations like GDPR, CCPA, etc.
Experience applying LLM/generative AI models
Familiarity with cloud platforms (AWS, Google Cloud, Azure) and their data solutions.
Why you will love being a Dynatracer
We are seeking an experienced and innovative Principal Analytics Engineering Manager to lead the design and development of advanced marketing analytics solutions that empower our marketing efforts. The successful candidate will play a pivotal role in building scalable marketing measurement models, and providing actionable insights that drive marketing strategies. This role is an exceptional opportunity for someone passionate about blending analytics engineering expertise with marketing analytics to make a direct business impact.
Key Responsibilities:
Measurement Modeling: Design and develop scalable, reliable, and efficient marketing measurement models that support marketing analytics and reporting needs. Partner with our central business intelligence team to build and maintain the models.
Marketing Data Integration: Lead efforts to integrate data from various marketing tools (e.g., CRM platform, Marketing automation platform, Marketing attribution platform, Social media channels, Digital analytics platforms, etc.) into our centralized data platforms in partnership with our central business intelligence and architecture teams.
Marketing Analytics Enablement: Collaborate with marketing and analytics teams to provide clean, structured, and timely data that drives insights and decision-making.
Tool Development: Build custom tools and workflows for marketing teams to improve data accessibility and self-service capabilities.
Data Governance: Establish and enforce best practices for data quality, integrity, and security within marketing that align with the organization's compliance requirements including data cataloging and documentation.
Collaboration & Leadership: Act as the primary point of contact for marketing data platform-related initiatives, effectively communicating with stakeholders across various teams and at all levels of the organization. Provide data leadership and influence other members of the analytics teams across the company on good data and measurement practices.
What will help you succeed
Minimum Qualifications:
Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
Experience: 8+ years of experience in data engineering, with at least 3 years focusing on B2B marketing or B2B sales related data.
Advanced knowledge of SQL and Snowflake or similar data warehousing platforms (e.g., Redshift, or BigQuery).
Strong knowledge in building and analyzing marketing attribution models and customer segmentation.
Strong experience working with data from Salesforce, Marketo and other marketing platforms (Google Ads, LinkedIn Ads, 6sense).
Hands-on experience with Alteryx, dbt or similar data transformation and ETL/ELT tools.
Experience working with Power BI or similar BI tools (e.g. Tableau or Looker).
Preferred Qualifications:
Understanding of machine learning and predictive analytics models in a marketing context.
Experience in programming languages such as Python and R
Familiarity with data privacy regulations like GDPR, CCPA, etc.
Experience applying LLM/generative AI models
Familiarity with cloud platforms (AWS, Google Cloud, Azure) and their data solutions.
Why you will love being a Dynatracer
- A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly.
- Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research.
- A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries.
- An environment that fosters innovation, enables creative collaboration, and allows you to grow.
- A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals.
- A truly international mindset with Dynatracers from different countries & cultures all over the world, and English as the corporate language that connects us all
- A culture that is being shaped by the diverse personalities, expertise, and backgrounds of our global team.
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