Lead Data Engineer

Summary

Join Genies, an AI avatar and games technology company, as a Lead Data Engineer. You will play a crucial role in building the foundational data infrastructure, empowering teams to make data-driven decisions and deliver exceptional user experiences. This hands-on leadership position involves defining event structures, designing data storage architecture, selecting appropriate systems and tools, and building high-quality data pipelines. You will also mentor other engineers and establish best practices. The ideal candidate has 5+ years of experience in data engineering and a strong background in data pipelines, SQL, data modeling, and cloud-based data storage solutions. Genies offers a supportive and innovative work environment with flexible hours, a work-from-home policy, and comprehensive benefits.

Requirements

• 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

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

Preferred Qualifications

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