Senior Data Architect for Music Consumption Analytics
Senior Data Architect for Music Consumption Analytics
š¢ ABOUT THE COMPANY
Spotify was founded in 2006 with a mission to unlock the potential of music for artists, creators, and fans. Today, we're one of the world's leading music streaming services with over 400 million monthly active users. Our global team is comprised of innovators, collaborators, and music lovers who are united by our passion for creating a world where music can flow freely. At Spotify, we're committed to fostering a diverse and inclusive culture where everyone feels welcome and empowered to do their best work.
šÆ ROLE OVERVIEW
As a Senior Data Architect for Music Consumption Analytics, you will play a critical role in helping us better understand how our users engage with music on our platform. You will work closely with cross-functional teams to design and implement data architectures that drive business insights and inform product decisions. Reporting to the Director of Data Engineering, you will be responsible for developing and maintaining large-scale data pipelines, working closely with data scientists, engineers, and product managers to ensure that our data infrastructure is optimized for performance, scalability, and reliability.
š KEY RESPONSIBILITIES
Design and implement scalable data architectures for music consumption analytics, leveraging technologies such as Apache Beam, Apache Spark, and Amazon Redshift.
Develop and maintain high-quality data pipelines that ensure data accuracy, completeness, and timeliness.
Collaborate with data scientists to design and implement data models that meet business requirements.
Work closely with engineers to ensure that data infrastructure is optimized for performance, scalability, and reliability.
Develop and maintain technical documentation to ensure knowledge sharing and onboarding of new team members.
Troubleshoot complex data-related issues and provide technical expertise to resolve them.
Stay up-to-date with the latest trends and advancements in data engineering and architecture, and apply this knowledge to continuously improve our data infrastructure.
ā REQUIRED QUALIFICATIONS
10+ years of experience in data architecture, engineering, or a related field.
Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
Proven experience with designing and implementing data architectures on large-scale datasets.
Strong hands-on experience with data engineering technologies such as Apache Beam, Apache Spark, Amazon Redshift, and Snowflake.
Excellent problem-solving skills, with the ability to troubleshoot complex data-related issues.
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
ā PREFERRED QUALIFICATIONS
Master's degree in Computer Science, Mathematics, Statistics, or a related field.
Certification in data engineering or architecture, such as Certified Data Engineer (CDE) or Certified Data Architect (CDA).
Experience with cloud-based data platforms such as AWS, GCP, or Azure.
Experience with data governance and data quality initiatives.
š° WHAT WE OFFER
We offer a highly competitive salary range of Ā£55,000-Ā£75,000 per year, depending on experience.
We provide a comprehensive benefits package, including private medical insurance, a contributory pension scheme, and 25 days of annual leave.
We offer a generous learning and development budget, to support your ongoing professional development.
As a remote team, we support flexible working arrangements, and we're committed to creating a work environment that is inclusive, diverse, and respectful.
We're committed to creating a culture that is collaborative, innovative, and fun, with regular team-building activities and social events.
š„ ABOUT THE TEAM
Our Music Consumption Analytics team is a close-knit group of data engineers, data scientists, and product managers who are passionate about understanding how our users engage with music on our platform. We work collaboratively to design and implement data architectures that drive business insights and inform product decisions. Recent wins include the launch of our personalized 'Discover Weekly' playlist, which has been a huge success with users.
šØ HOW TO APPLY
To apply, please submit your resume, cover letter, and a link to your portfolio or GitHub repository. We're looking for someone who can hit the ground running, so please highlight any relevant experience or projects that demonstrate your skills and expertise. We're an equal opportunities employer, and we welcome applications from diverse candidates.
Applications will be reviewed on a rolling basis, and we expect to conduct interviews within 2-3 weeks of receiving your application.
š Job Details
| Job Type | š Remote |
| Location | London, GB |
| Address | Spotify Ltd, c/o 5 New Street Square, EC4A 3TW |
| Salary | GBP 55,000 ā 75,000 / year |
| Industry | General |
| Company | Spotify |
| Valid Until | 2026-09-13 |
šØ How to Apply
Submit your updated CV and a brief cover letter to Spotify. Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted within 2 weeks of applying.