Join us as a Senior Analytics Engineer and be an architect of our data-driven future. We are seeking a strategic thinker who will combine their technical expertise with a deep understanding of the business to deliver solutions which transform raw gaming data into actionable insights and data products. You will build robust pipelines, well-crafted data models, and innovative data products to drive impactful outcomes. You will prioritize security, data quality, reliability, and usability to ensure stakeholder confidence in our solutions. To be successful, we collaborate with data scientists, analysts, data engineers, game teams and stakeholders at the pace of our business. Our team is passionate about our mission, embracing challenges with a growth mindset, and continuously leveling-up. Responsibilities Build subject matter expertise of our business and data domains to collaborate with data consumers and stakeholders to understand their information needs and assist them with data access. Identify and analyze multi-structured data or metadata from a variety of sources to select and document the most effective and accurate data which fulfills the analytics requirements. Design data models, architect dataflows, and develop abstractions to deliver scalable solutions for analytics and machine learning ensuring they can evolve with changing needs. Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines which transform data into clean, enriched, and accurate information. Advance our infrastructure by developing frameworks, reusable components and new capabilities to achieve our mission. Steward the creation, collection, maintenance, and management of metadata. Handle confidential information responsibly and correctly apply security and privacy policies. Test programs or databases, correct errors and make necessary modifications Qualifications: Bachelor's degree in a technical field such as computer science, computer engineering or related field required 5-7 years applicable experience required Critical thinker and problem solver who brings a creative and open mindset to each situation. A proven track record building and optimizing analytic solutions and data products which deliver significant business impact. Data analysis and exploration skills to identify, select and prepare data or metadata for analytics. Business acumen to understand and address business challenges through analytics engineering. Experience building, maintaining and optimizing enterprise scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow; Azure preferred. Strong Python skills for data processing combined with a pythonic mindset. Proficient SQL. Working knowledge of DevOps and DataOps. Video game domain knowledge is important as an experienced Player or industry veteran.