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Sr. Data Platform Engineer

1 year ago

We create ambitious games in a quietly awesome culture.

That simple statement is at the heart of what we do here at Possibility Space. Founded by a diverse and experienced team of game and media industry veterans, we are built from the ground up as a distributed studio, allowing developers to live and work where they are happiest. We strive to create an environment where we can do our best work regardless of what we look like, who we love, or how we identify.

Prytania Media is seeking a Data Platform Engineer to work with our studios- Possibility Space and Crop Circle Games. The Data Platform Engineer will design our data platforms & analytics capabilities for our new and growing set of distributed studios comprised of talented developers, engineers, testers, artists, designers, and producers.

Reporting to the Director of Development Platform, you will be partnering closely with our DevOps, QA, and Engineering teams to create data platform buildouts while helping define the long-term direction of our game telemetry, system data, and overall analytics capabilities.

Core Responsibilities & Objectives

Collaborate with engineering leaders to craft our Data & Analytics vision and strategies.
Provide technical leadership to drive delivery and execution of the overall Data & Analytics technology vision.
Develop studio-specific data platform solutions that ingest, secure, store, decorate, and can be visualized.
Incorporate core data management competencies including data governance, data security and data quality.
Leveraging cloud technologies & manages services in building low-maintenance and highly available solutions.
Drive architectural decisions shaping the data platform that supports current and future business needs.
Partner with our studios to create a vision and roadmap for analytics by understanding their use cases and data needs and helping them solve problems.

Core Traits (Skills, Knowledge, Experience)

Bachelors or graduate education (BS, MS) or equivalent experience in a quantitative field such as math, physics, computer science, statistics etc.
A minimum of 6 years of experience in data engineering, data science or analytical modeling and basic knowledge of related disciplines.
Experience with cloud BI technologies (warehouse/datalake, ingress, visualization, ETL etc.)
Familiar with data visualization tools like Looker, Quicksight, Power bi, etc.
Experience in building scalable and reliable platforms, data pipelines, and game telemetry preferred.
Diligent mentality, robust sense of responsibility/accountability, and strong verbal/written communication, documentation, and collaboration skills.

Bonus Traits

Experience with Azure Data Explorer and KQL.
Experience developing for a live, service-based product.
Experience working in a remote and globally dispersed organization.

Physical Requirements

Close vision to monitors and screens, consistently working on computer equipment such as keyboards and monitors, long periods of sitting. Reasonable accommodations can be made to enable individuals with disabilities to perform the essential functions.

Possibility Space is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, marital status, medical condition(s), national origin, physical or mental disability, protected veteran status, race, religion, sexual orientation, or any other characteristics protected by applicable laws, regulations, and ordinances, or common human decency.

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