Lead Data Engineer

GeniesLos Angeles, CA
174d$215,000 - $265,000Remote

About The Position

Genies is an AI avatar and games technology company powering the next generation of digital experiences through Smart Avatars. Genies' technology stack is rooted in empowering user generated content through the company's two main mantras: "Anyone can create anything" & "Everything works with everything". By combining these two guiding principles, individuals can craft limitless experiences while IP owners can build dynamic social gaming ecosystems powered by user-generated content (UGC) and AI Avatars-what Genies calls "Parties." Genies' technology stack features a comprehensive suite of UGC tools that enable anyone to create AI avatars, complete with customizable fashion, props, behaviors, and personalities, as well as immersive AI avatar experiences. At its core is the Genies Avatar Framework, which leverages machine learning and computer graphics to ensure seamless interoperability across all user-generated AI avatars and experiences-unlocking boundless creative potential. Early adopters of Genies' first gen avatars include icons like Justin Bieber, Rihanna, J Balvin, Migos, and thousands more. With offices in Los Angeles and San Francisco, Genies has raised $200M from notable investors including Silver Lake, BOND, NEA, and Bob Iger. We are seeking a Lead Data Engineer who is passionate about building the foundational data infrastructure that empowers teams to make smarter decisions and deliver exceptional user experiences. In this hands-on leadership role, you will define how events are structured and organized while collaborating with product stakeholders to ensure clarity and alignment. You will design our data storage architecture, select the right systems and tools to enable business teams, and build high-quality pipelines that make data reliable and accessible.

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

Nice To Haves

  • Ideal if candidate has experience working in growth stage companies

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.

Benefits

  • 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

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Senior

Industry

Professional, Scientific, and Technical Services

Number of Employees

101-250 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service