Lead Data Engineer

Join to apply for the Lead Data Engineer role at Genies Genies is an avatar technology company powering the next era of interactive digital identity through AI companions. With the Avatar Framework and intuitive creation tools, Genies enables developers, talent, and creators to generate and deploy game-ready AI companions. The company’s technology stack supports full customization, AI-generated fashion and props, and seamless integration of user-generated content (UGC). Backed by investors including Bob Iger, Silver Lake, BOND, and NEA, Genies’ mission is to become the visual and interactive layer for the LLM-powered internet. Responsibilities Own the definition and management of the structure for how events are created and organized, designing and maintaining event taxonomies, naming conventions, and guidelines while collaborating closely with product stakeholders to ensure alignment with business goals and product strategy. Define and determine the architecture around how we use data storage services, evaluating, recommending, and implementing appropriate storage solutions such as data warehouses, lakes, or transactional stores with a focus on scalability, reliability, security, and cost-effectiveness. Lead decision making on how data is used to empower business teams, for example by assessing and recommending analytics platforms to support self-serve product analytics and reporting, and guiding their integration with our broader data stack. Build and maintain robust, performant, and secure data pipelines and ETL processes, ensuring high-quality, well-documented, and maintainable code while working with stakeholders to prioritize and deliver features and improvements. Mentor and provide technical leadership to other engineers, establishing best practices for data modeling, testing, monitoring, and documentation to raise the quality and reliability of our data engineering work. Qualifications 5+ years of experience in data engineering or a related field Strong experience designing and implementing data pipelines using modern orchestration frameworks (e.g., Airflow, Dagster) Expertise in SQL, data modeling, and schema design for analytical workloads Deep familiarity with cloud-based data storage solutions (e.g., Snowflake, BigQuery, Redshift) and data lakes Experience evaluating and integrating third-party analytics platforms (e.g., Mixpanel, Amplitude) Excellent communication and collaboration skills to work cross-functionally with product managers, engineers, and business stakeholders Proven ability to define and manage event tracking structures in large or growing products Leadership experience mentoring engineers and driving technical direction Ideal if candidate has experience working in growth stage companies Benefits You'll work with a team that you’ll be able to learn from and grow with, including support for your own professional development You'll be at the helm of your own career, shaping it with your own innovative contributions to a nascent team and product with flexible hours and a work from home policy You'll enjoy the culture and perks of a startup, with the stability of being well funded Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available), Dental and Vision Insurance Competitive salaries for all full time employees Unlimited paid time off, sick time, and paid company holidays, in addition to paid parental leave, bereavement leave, and jury duty leave for full-time employees Health & wellness support through programs such as monthly wellness reimbursement Working in a brand new, bright, open-environment and fun office space - there’s even a slide! Choice of MacBook or Windows laptop Starting Salary

$215K - $265K

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