Software Engineer, Data Platform

About the role

Support the implementation of data governance frameworks that improve data ownership, access, and accountability across the organization.
Help manage role-based access control (RBAC) in Snowflake, including provisioning access, reviewing permissions, and ensuring adherence to least-privilege principles.
Aid in defining and maintaining data policies around access, usage, and retention, in collaboration with Data, Security, and Legal teams.
Develop and optimize data models and transformations in Snowflake using DBT, ensuring data is clean, well-structured, and analytics-ready.
Create tooling and abstractions that make it easy for other teams to produce and consume high-quality data.
Maintain and improve documentation, including data definitions, ownership records, and governance standards.
Contribute to building and maintaining data lineage and metadata tracking, helping improve visibility into how data flows across systems.
Support audit readiness by helping collect evidence, maintain access logs, and participate in periodic access reviews.
Monitor data access patterns and flag potential issues, inconsistencies, or policy gaps.
Partner with Engineering and Analytics teams to ensure governance practices are incorporated into data pipelines and workflows.
Improve data quality and consistency by identifying gaps in definitions, ownership, or validation processes.
Promote good data hygiene and responsible data usage across teams through documentation and collaboration.

Requirements

• 3–5 years of experience in Data, Analytics, Data Engineering, or related roles, with some exposure to data governance, data quality, or data security concepts.
• Familiarity with SQL and basic understanding of access controls, RBAC, and data security best practices.
• Experience or exposure to modern data tools (e.g., dbt, Airflow, or similar), and how data pipelines are structured.
• Interest in data governance, compliance, and auditability, with a desire to grow deeper in this area.
• Strong attention to detail and an appreciation for clean, well-documented systems.
• Ability to work cross-functionally and communicate clearly with both technical and non-technical stakeholders.
• A pragmatic mindset — able to balance structure with speed in a startup environment.
• Strong sense of ownership and willingness to learn in a fast-moving, evolving environment.

Qualifications

• A genuine passion for music, creativity, and AI, and excitement about supporting a trustworthy data foundation for generative creation.