Senior Analytics Engineer
4 weeks ago
We are seeking a highly skilled Senior Analytics Engineer to join our Customer Engineering team within the Adobe Digital Experience (DX) Cloud Engineering. As a key member of our team, you will be responsible for designing and delivering complex data models and queries to support cross-AEP analytics, dashboards, and self-serve tools.
Key Responsibilities- Create and maintain complex data models and queries to support cross-AEP analytics, dashboards, and self-serve tools
- Collaborate with partners to understand business requirements and translate them into data insights reporting & analytics solutions
- Establish data modeling standards and patterns; ensure these models accurately measure metrics, and supporting details
- Build and maintain data pipelines and infrastructure for efficient data processing and analysis
- Collaborate with partners to understand business requirements and translate them into technical solutions; enable and support partners to access and analyze data effectively
- Optimize data processing and storage solutions for performance and cost efficiency
- Develop automated processes for data validation, cleaning, and transformation
- Implement data governance and quality standards; document for data models, code, and standards
- Serve as a domain expert on data models and address questions quickly and accurately
- Approve data model changes as a reviewer and code owner for specific database schemas
- Integrate AI/ML models into data warehousing and analytics workflows
- Advocate for data quality programs and trusted data initiatives
- Lead major strategic data projects spanning six (6) months or more
- Lead, guide, and mentor junior team members to grow their skills and impact
- 5-7+ years' experience in analytics engineering or related data engineering roles, including a unique blend of technical data skills, business sense, and the ability to communicate complex data concepts to technical and non-technical audiences
- Expert proficiency in SQL and data modeling
- Proficiency in statistical programming languages like Python or R
- Experience with data warehousing technologies and cloud platforms (e.g., AWS, Azure)
- Expertise in analytics and data engineering concepts, tools, and technologies
- Proficiency in data transformation tools like dbt (data build tool)
- Experience with data orchestration platforms (e.g., Airflow, Glue)
- Knowledge of dimensional modeling and star/snowflake schemas
At Adobe, we offer a competitive compensation package, including a base salary and short-term incentives. We also offer long-term incentives in the form of a new hire equity award. Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.
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