Principal Data Engineer

Position Summary
As a Principal Software Engineer I - Data, you define the data architecture for large software projects, guide teams of data engineers through ambiguity, and set standards for engineering excellence. You lay data foundations that support long-term strategic goals.

Essential Functions/Responsibilities
The Principal Software Engineer I - Data is accountable for the following functions and responsibilities:
● Responsible for architectural decision-making in data engineering, ensuring scalability and alignment with the company's technical vision and strategy.
● Design and develop data systems to achieve goals, while also documenting for maintainability.
● Review and provide feedback on coworkers' changes, and lead by example by delivering first-class code.
● Investigate complex issues, design better solutions, learn from misprocessing, and implement long-term mitigations.
● Discover requirements by working with engineering leads, production managers, and stakeholders.
● Train and mentor less experienced engineers to set direction for other engineers.
● Define testing strategy for large-scale data to prevent operational incidents.
● Create frameworks with long-term ROI, establish standards for engineering
excellence, identify risks and opportunities, and motivate action.

● Perform other duties as assigned.

Qualifications/Experience Required
● Bachelors or relevant work experience or certification/courses.
● At least 10 years of experience in large-scale data storage and analysis and experience with technologies like Python, R, and BI systems to complete a
collaborative software project.
● Advanced experience in writing codes in Java/Python, either on general
programming ability or data processing ability with several data formats
(CSV/TSV/JSON/XML).
● Advanced experience in SQL query languages in general setting databases,
preferably PostgreSQL.
● Basic experience in NoSQL query/engine in general setting databases,
preferably MongoDB.
● Advanced experience in schemas and data structures as they apply to organizing
business data.
● Advanced experience in cloud data processing products, including but not limited
to Airflow, Snowflake, etc.
● Advanced experience in cloud-based deployments for data processing jobs services such as Docker and K8s (cloud orchestration).
● Expert in RESTful API-based services, especially for data services
● Advanced experience in Kafka or queues, Redis, Grafana, or other cloud-based
technologies.
● Experience as the primary data architect and lead data engineer on multiple
software products
● Broad and deep expertise in multiple software domains
● Expertise in designing complicated software systems
● Advanced experience in software and system architecture
● Expert in documentation and technical specifications for technical communication
purposes.
● Advanced experience in user experience
● Advanced experience in the full lifecycle of a software product
● Experience in mentoring, managing, and setting the direction for other engineers
● Experience at a AAA game studio or a software product company is preferred.
● Experience working with cloud platforms or web products is preferred.
● Previous professional software experience of any kind is preferred.
● Experience working in a multinational technology startup is highly preferred.
● Eagerness to learn new languages and technologies.
● Proficiency in written and verbal English.
● Flexibility to adjust to work routines/schedules, as required, to meet the needs of
the company and the expectations of customers.