Data Architect

Role Description

We're standing up a unified data and analytics platform that consolidates artist performance, revenue, royalties, audience, and operational data into a single queryable layer in BigQuery. This role owns the architecture: warehouse design, source-system integration strategy, entity resolution across platforms, and the transformation layer that turns fragmented exports into a coherent picture of an artist, a release, and a project.

PLEASE NOTE THIS IS A SHORT TERM CONTRACTED POSITION.

You'll lead a small team (2 fractional engineers + a front-end contractor) doing genuinely hard integration work — aggregation across sources, entity matching, and reconciling numbers that don't agree out of the box. You'll partner closely with our internal data team, business owners across the platforms we ingest, and an executive sponsor. The near-term deliverable is a working analytics layer by end of year; the medium-term deliverable is the foundation under our next-generation Label Analytics Dashboard and AI-augmented reporting products.

Key Responsibilities

• Act as the bridge between technical implementation and business reality.
• Work directly with stakeholders across Finance, Label Services, Marketing, Operations, and Executive Leadership to determine how the business should be represented in data.
• Drive decisions around metric definitions, source-of-truth ownership, reconciliation rules, and exception handling when systems disagree.
• Design the data warehouse: schemas, transformation layer, semantic conventions, access patterns.
• Lead the integration work across systems: entity resolution, aggregation, and reconciliation.
• Design how artists, songs, venues, and partners will share canonical IDs between FUGA, Luminate, Chartmetric, Salesforce, and Airtable.
• Set the rules for what's authoritative and how discrepancies get surfaced.
• Integrate Salesforce and RAMP (cost data).
• Lead a small delivery team responsible for building the warehouse, transformation layer, reconciliation pipelines, and analytics experiences.
• Define the data contracts and architectural patterns for applications.
• Choose and stand up the transformation tooling (dbt, SQLMesh, Dataform, or other).
• Set the standards for testability, observability, and data quality monitoring across the warehouse.

Qualifications

• 3 to 8+ years of data engineering, analytics engineering, or data architecture experience.
• Evidence of production ownership over tenure.
• Hands-on experience designing data models, integrating multiple systems, and making architectural decisions in real-world environments.
• Strong engineering fundamentals.
• Capable of independently designing systems, writing code, debugging integrations, and reasoning about data architecture.
• Deep experience integrating complex data across heterogeneous sources.
• Experience managing teams through ambiguous integration projects.
• Track record of integrating with 5+ external SaaS platforms via APIs, exports, or third-party connectors.
• Strong communication skills.
• Comfortable owning architectural decisions and documenting them.
• BS in Computer Science, Software Engineering, Information Systems, or related field preferred.

Preferred

• Experience working with music-industry datasets or platforms (FUGA, Luminate, Chartmetric, etc.) is highly preferred but not required.
• Experience designing AI-augmented analytics products.
• Background in financial data attribution.

Company Description

Firebird is a next generation music company providing career and brand guidance to over 1,000 artists worldwide to help them develop and grow broader global audiences and build longer lasting, higher impact, more profitable careers. Redefining the intersection of music, technology and finance, Firebird has rich expertise across the spectrum of artist management and intellectual property creation.

• Traditional endeavors like touring and recording.
• Cutting edge marketing and consumer product development.
• Emerging digital platforms from gaming to AI.
• Partners include Red Light Management, Mick Management, Transgressive, Defected, Tape Room, Easier Said and many more.

Who We Hire

We hire based on talent, passion, and potential. We don't discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.