Adobe
Data Engineering Manager, Data Science
Adobe, San Francisco, California, United States, 94199
The Digital Imaging (Photoshop and Lightroom) Data Science Team is looking for a seasoned Data Engineering Manager who is passionate about data and driving the direction of products that allow millions of people bring their creativity to light.
The ideal candidate for this role will have strong data infrastructure and data architecture skills, proven success leading and scaling data engineering & BI teams, solid project management skills, and a vision for driving BI services in a fluid environment.
Responsibilities
Working alongside a robust team of Data Scientists and Data Engineers, you will partner closely with Product Managers, Product Marketing Managers, and Software Engineers to build a data architecture that supports accurate and efficient decision making. You will start as a hands-on architect, creating a roadmap for delivering a set of capabilities that support the long-term sustainability of our data platforms and pipelines. Define and implement a technical roadmap sought at driving the long-term scale of our BI and Data Warehousing platforms. Lead, coach, and mentor a team of Data Engineers and BI Developers in a fast-paced environment. Build multi-functional relationships with Product Management, Product Marketing, and Growth to drive actionable data requirements. Own and optimize technical standards and platform documentation. Drive data quality, governance, and compliance with organizational security standards. Drive the architecture and deployment of new datasets, pipelines, and dashboards in a production environment. Proactively diagnose performance issues and implement performance tuning techniques to improve platform scale. Effectively handle a backlog of requests while adhering to established SLAs. Qualifications
Bachelor's degree or equivalent experience in Computer Science, Information Technology, or a related field. 6-10 years of hands-on experience working with large scale data, developing innovative data solutions in a cloud environment. 2-5 years of hands-on people management experience, hiring, onboarding, and developing top talent. Experience leading and scaling technical teams. Strong leadership savvy, with demonstrated experience incepting and driving projects independently. Strong proficiency in Python and SQL. Extensive experience with BI platforms (i.e., Power BI, Tableau, Looker). Experience with data warehousing, ETL/ELT processes, and data integration platforms (i.e., Airflow, MuleSoft, SnapLogic). Ability to optimize and tune data pipelines for performance and scalability. Knowledge of data modeling concepts and database design methodologies. Excellent problem-solving skills and attention to detail. Strong communication and presentation skills. Experience with modern cloud platforms (i.e., Azure, AWS, GCP). Compensation
The U.S. pay range for this position is $115,000 -- $247,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.
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Working alongside a robust team of Data Scientists and Data Engineers, you will partner closely with Product Managers, Product Marketing Managers, and Software Engineers to build a data architecture that supports accurate and efficient decision making. You will start as a hands-on architect, creating a roadmap for delivering a set of capabilities that support the long-term sustainability of our data platforms and pipelines. Define and implement a technical roadmap sought at driving the long-term scale of our BI and Data Warehousing platforms. Lead, coach, and mentor a team of Data Engineers and BI Developers in a fast-paced environment. Build multi-functional relationships with Product Management, Product Marketing, and Growth to drive actionable data requirements. Own and optimize technical standards and platform documentation. Drive data quality, governance, and compliance with organizational security standards. Drive the architecture and deployment of new datasets, pipelines, and dashboards in a production environment. Proactively diagnose performance issues and implement performance tuning techniques to improve platform scale. Effectively handle a backlog of requests while adhering to established SLAs. Qualifications
Bachelor's degree or equivalent experience in Computer Science, Information Technology, or a related field. 6-10 years of hands-on experience working with large scale data, developing innovative data solutions in a cloud environment. 2-5 years of hands-on people management experience, hiring, onboarding, and developing top talent. Experience leading and scaling technical teams. Strong leadership savvy, with demonstrated experience incepting and driving projects independently. Strong proficiency in Python and SQL. Extensive experience with BI platforms (i.e., Power BI, Tableau, Looker). Experience with data warehousing, ETL/ELT processes, and data integration platforms (i.e., Airflow, MuleSoft, SnapLogic). Ability to optimize and tune data pipelines for performance and scalability. Knowledge of data modeling concepts and database design methodologies. Excellent problem-solving skills and attention to detail. Strong communication and presentation skills. Experience with modern cloud platforms (i.e., Azure, AWS, GCP). Compensation
The U.S. pay range for this position is $115,000 -- $247,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.
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