Within Data Infra, you may be matched to critical business areas including:

• Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data.
• Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting.
• Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data.
• Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark.

You'll work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives.

To be successful in this role, you'll need:

• 10+ years of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems.
• 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead.
• Deep experience with at least one of:
• Strong proficiency in programming languages like Python, Go, Java, or similar.
• Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS).
• Can navigate complex technical tradeoffs between performance, cost, security, and maintainability.
• Have excellent collaboration skills - you work well with both technical and non-technical stakeholders.

Strong candidates may also have:

• Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure.
• Experience with Kubernetes, containerization, and cloud-native architectures.
• Track record of improving data reliability, availability, or cost efficiency at scale.
• Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks.
• Experience working in fintech, financial services, or highly regulated environments.
• Security engineering background with focus on data protection and access controls.

Technologies We Use:

• Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran.
• Storage: GCS, S3.
• Infrastructure: Terraform, Kubernetes, GCP, AWS.
• Languages: Python, Go, SQL.

The annual compensation range for this role is $405,000-$485,000 USD.

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As a Data Scientist, you'll help the Portfolio team make informed decisions about how to grow and diversify Spotify's paid offerings by analysing subscriber behaviour, measuring the impact of plan changes and new propositions, and surfacing insights that shape our strategy.

Your work will directly influence how the Spotify experience evolves for users around the world.

Responsibilities:

• Analyse subscriber behaviour and engagement patterns to identify opportunities for plan evolution and new value propositions
• Design and analyse experiments to measure the impact of changes to subscription plans and add-on offerings
• Define and maintain success metrics for Portfolio initiatives, ensuring alignment across cross-functional partners
• Build and maintain dashboards and reporting to monitor the health and performance of subscription plans and new revenue streams
• Perform exploratory analyses that uncover growth levers and inform the Portfolio roadmap
• Collaborate with Product, Engineering, Design, User Research and other Data Science teams across the Subscriptions Mission
• Communicate findings and recommendations clearly to both technical and non-technical audiences, including senior leadership

Requirements:

• 3+ years of experience in data science or analytics, ideally at a consumer tech or subscription-based company
• Hold a degree in Statistics, Economics, Computer Science, Mathematics, or a related quantitative field (or equivalent experience)
• Proficient in SQL and Python and comfortable working with large-scale datasets
• Experience designing and analysing A/B tests, with a solid understanding of statistical methods
• Clear communicator who can translate complex analyses into actionable recommendations
• Curious, proactive, and comfortable navigating ambiguity in a fast-moving business
• Enjoy collaborating across teams and are comfortable working in environments that require coordination across multiple stakeholders and workstreams

Benefits:

• Health insurance
• Six month paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• Paid flexible holidays
• Paid sick leave

Salary Range: $76,840 - $109,771, plus equity

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Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use.

We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives.

Responsibilities:

Within Data Infra, you may be matched to critical business areas including:

• Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems.

• Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics.

• Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery.

• Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization.

You might be a good fit if you:

• Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems

• Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead

• Can set technical direction for a team, not just execute within it

• Have deep experience with at least one of:

• Strong proficiency in programming languages like Python, Go, Java, or similar

• Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS)

Strong candidates may also have:

• Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure

• Experience with Kubernetes, containerization, and cloud-native architectures

• Track record of improving data reliability, availability, or cost efficiency at scale

• Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks

• Experience working in fintech, financial services, or highly regulated environments

• Security engineering background with focus on data protection and access controls

Technologies We Use:

• Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran

• Storage: GCS, S3

• Infrastructure: Terraform, Kubernetes, GCP, AWS

• Languages: Python, Go, SQL

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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