Platform Engineer Sr

Lead Platform Engineer

Our client is a global technology company pioneering the future of immersive reality. They build end-to-end immersive experiences and develop technology that enables people to experience entertainment like never before. They work across three primary markets—Sports and Entertainment, Science and Education, and Parks and Attractions—while pushing the boundaries of design, technology, and service. The world’s biggest entertainment brands use their technology to create mind-blowing immersive experiences for millions of guests. They are a rapidly growing organization with ambitious plans for 2024 and beyond. They have built a strong company culture based on mutual respect, accountability to each other, intense curiosity, and a bold shared vision.

Project Details: The engineering team develops technology to deliver best-in-class experiences through our digital and live-streaming products. The client is looking for a passionate and talented Lead Platform Engineer, Data, to help architect the Data platform and build solutions that enable data consumers and others to measure our performance. The role will be architecting, building, and managing data pipelines that power business operations for the Venues. The candidate will help evolve the data platform, built on Databricks and AWS, to implement incremental data flow to join and transform internal and external data sources efficiently. The ideal candidate will have experience using industry-standard tools and a strong drive to learn new techniques. The client expects the engineers and leaders to be versatile, display leadership qualities, and be enthusiastic when tackling new problems as they launch the venues and push technology to new heights.

Profile Descriptions: The ideal candidate is a solutions-oriented person who can lead by example and is competent with all layers of the data platform. They should be willing to roll up their sleeves and be familiar with various technologies, but they should know how to choose the best technology for the job. Some experience with e-commerce and retail data is a plus. Ideally, they are familiar with the sports & eSports industry and digital, tech, and streaming media.

Responsibilities: Lead, manage, and mentor a team of data and software engineers, fostering a culture of collaboration, innovation, and continuous learning. Oversee the design, development, and maintenance of scalable data engineering infrastructure, ensuring optimal performance and reliability. Collaborate closely with cross-functional teams to ensure the successful delivery of scalable and efficient data ingestion services and common tools. Work closely with product stakeholders to refine the technical data platform roadmap. Build tools to monitor job run status, data quality, and SLA thresholds. Manage cross-team dependencies and work with tech leads on solutions. Apply state-of-the-art techniques for managing complex workflows, like incremental data flow. Contribute to high-level strategic decisions with the rest of the Engineering and Executive teams. Stay on top of industry trends and emerging technologies. Exemplify excellent written and verbal communication skills and the ability to tailor technical communications to any audience deftly. Push the limits, try new technologies, take calculated risks, swing for the fences, and proactively search for the best solutions and ideas in the marketplace.

Qualifications: Proven experience (6+ years) in software engineering and data engineering, with a strong emphasis on managing complex API development and data ingestion. Strong experience with Dataframe-based development for data transformation, i.e. Pandas, Spark or writing analytical SQL queries, especially in a cloud environment. Deep experience with Data Bricks. Strong experience with data modeling and efficient design. Strong experience with source control tools such as GitHub Actions, Pulumi, Terraform and related CI/CD processes. Strong experience working with Data streaming services such as Kafka, etc. Deep understanding of the data development cycle, including exploration, extraction and transformation of new data. Technical expertise creating machine learning models. Experience working with downstream data consumers. Working knowledge of web and app analytics, i.e. inbound attribution, UTM parameters, etc. is a plus. Experience with retail systems, i.e. point of sale and inventory tracking is a plus. Driven to automate your processes, test continually, and document your work. You’re not afraid of an open, candid, and respectful work environment. Passion for video live-streaming and sports is a plus.

Interview Expectations: 1. Our partner will interview for 30 mins. 2. 30-minute interview with the Head of Product and 30 minutes with the Head of Engineering 3. Possibly one more interview with SVP

We Offer: A dynamic and collaborative work environment. Non-workable local holidays Birthday’s day off Trainings Flexibility 100% Remote work Equal Employment Opportunity Policy Our company does not discriminate in employment based on race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, parental status, military service, or other non-merit factors.