Lead Analytics Engineer

sonyinteractiveentertainmentglobal; United States; Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote-friendly / Hybrid work

Benefits package including medical, Rx

Retirement matching

Employee product discounts

Job summary

Sony Interactive Entertainment Global is seeking a senior analytics engineer to own data models for new game launches, collaborating with studios to map telemetry and ensure analytics readiness.

The role blends SQL, data modeling, and game context, with expectations to expand use of dbt, Airflow, and modern tooling while applying software-engineering discipline such as version control, testing, and documentation.

Qualifications

• Strong SQL skills on OLAP databases (e.g., Redshift).
• Experience implementing a data modelling framework (dbt or SQLMesh).
• Translate product questions into data model requirements.
• Interest in big-data projects and deepening expertise.
• Quality-first mindset with testable, repeatable DB development.

Responsibilities

• Design, build, and own production data models tied to new title launches; optimize queries.
• Collaborate with game developers and analysts to map telemetry to analytics use cases.
• Expand adoption of dbt-style models, Airflow orchestration, and related tooling.
• Apply software engineering discipline: version control, testing, documentation.
• Coordinate with cross-functional teams to keep models consistent as catalog grows.

Skills

SQL

dbt

SQLMesh

Airflow

Redshift

Data modeling

Metadata management

SQL optimization

Education

Computer Science degree

Tools

Python

AWS Glue

Git

Liquibase

Airflow

Job description

Role overview

A senior individual-contributor role within an internal analytics platform team that serves a portfolio of AAA game studios. The mission is to scale and evolve the end-to-end data infrastructure that supports live and in-development console titles, with the engineer owning data models for specific games and partnering directly with studio teams. It's a hybrid engineering-and-analytics position suited to someone who wants to combine SQL craft, data modelling, and game development context.

Responsibilities

• Design, build, and own production data models tied to new title launches, prioritizing query efficiency and consistency across the platform.
• Work directly with game developers and analysts to spec in-game telemetry, ensuring events captured in-engine map cleanly to downstream analytical use cases.
• Expand adoption of modern data tooling (dbt-style model frameworks, Airflow orchestration, and related technologies) in patterns that fit platform needs.
• Apply software-engineering discipline to data model work, including version control, testing, and documentation.
• Collaborate with cross-functional analytics and studio colleagues to keep modelling consistent and performant as the catalog of games grows.

Requirements

• Strong SQL skills on OLAP/analytics databases such as Redshift or comparable columnar warehouses.
• Practical experience implementing and operating a data modelling framework such as dbt or SQLMesh.
• Ability to translate ambiguous product or business questions into concrete data model requirements and solutions.
• Genuine interest in big-data projects and a desire to deepen expertise in that area.
• A quality-first mindset with enthusiasm for repeatable, testable, test-driven database development.

Nice to have

• Computer Science degree or equivalent background.
• Experience with Python, AWS Glue, source control tools such as Git or Liquibase, and Airflow.
• Familiarity with AAA console game development workflows and live-service titles.

Benefits and work setup

• Remote-friendly with flexible location; compensation varies by geography.
• Comprehensive benefits package including medical, dental, vision, retirement matching, paid time off, wellness program, and employee product discounts.
• Eligibility for a performance bonus.