TIDAL is a global music and entertainment streaming platform committed to creating a deeper connection between artists and fans through its library of more than 80 million songs, over 350,000 high quality videos, and available in over 60 countries. In addition, TIDAL offers its subscribers exclusive access to high-profile music and music videos, original content series, podcasts, documentaries, livestream concerts, tickets, merchandise and live experiences. Together, TIDAL and Block will be music-obsessed and artist-focused while we explore new artist tools, listener experiences, and access to financial systems that help artists be more successful.

Data is an integral part of TIDAL’s success, and the Business Intelligence team provides the ability for our company to deliver several key initiatives.

We are hiring a Senior Data Engineer who will lead the efforts to deliver data products that improve the decision-making capabilities in shaping the future of TIDAL. You will be responsible for collecting data about TIDAL’s performance, interpreting that data to identify problem areas and areas of improvement, then sharing that information with others. You will collaborate with several stakeholders, including executives across key disciplines such as Marketing, Product, and Finance & Strategy. The ideal candidate will have both hands on and leadership experience in data engineering.

Responsibilities:

You will lead the technical implementation of data projects within our Data Lakehouse, Business Intelligence reporting solution across TIDAL.You will review and verify customer data, direct the dissemination of data to the data lakehouse, and establish policies and protocols for the collection and examination of data. You will also manage and lead medium to large cross functional technology data projects such as introducing a new self-service model for stakeholders to access and use data.

You Will:

Provide technical leadership for TIDAL data projects

• Continuously streamline and improve processes related to the service delivery area.
• Collaborate with the Business, Marketing, Finance, and external stakeholders to identify, establish scope and implement solutions that support the company’s growth, scalability, and overall success.

• Perform stakeholder management to gather and document data warehouse and reporting requirements to ensure development work meets business objectives
• Be an expert in the business’ need for data – understand how it informs their strategy and use that knowledge to deliver new insights.
• Provides services and data support, from data lakehouse to business insights, including the data pipelines and analytics systems
• Partner with our data partners such as the decentralized analytics teams to help them discover new data solutions, support the development of data products, and promote data best practices.
• Serves the needs of data producers by providing a seamless integration for event data and change data capture.
• Assists data owners to publish and monitor data streams
• Owns the data lakehouse and manage the unified data storage for all teams
• Ensures that all data is compliant with GDPR, CCPA, and PII

• 5+ years of data science, statistics, engineering, business, management information systems, or computer science experience
• Knowledge of database and data warehousing cloud technologies (Databricks, Redshift, Snowflake, AWS RDS, and S3)
• Proven experience and knowledge of data warehousing and business intelligence, with emphasis on data architecture, sourcing, reporting and analytics through the entire project lifecycle
• Experience with business analytics products like Looker, ThoughtSpot and Tableau
• Demonstrable understanding of development processes and agile methodologies
• Experience with ETL scheduling technologies with dependency checking, such as Airflow or Prefect
• Experience with Linux/OSX command line, version control software (git)
• Working experience with Python
• Excellent communication skills, particularly when explaining technical matters to less technical co-workers
• Experience ingesting, managing and troubleshooting web data(events)