Director, Platform Design & Intelligence

Complex, Los Angeles

What you need

8+ years in data engineering, software engineering, analytics engineering, or a related discipline, including 3+ years leading teams, technical initiatives, or data platform architecture.
5+ years each with SQL and Python, including complex data exploration, optimization, warehouse modeling, and production data or automation workflows.
3+ years each with Snowflake; AWS services such as S3, EC2, and Lambda; and Apache Airflow or comparable orchestration tools such as Dagster or Prefect.
Experience building scalable production data platforms and pipelines, with strong data quality, testing, observability, and operational practices.
Experience supporting machine learning or AI through data engineering or infrastructure; an understanding of statistical analysis, experimentation, and data science workflows; and working knowledge of LLMs, embeddings, vector search, RAG, and AI application architecture.
Strong systems design and problem-solving skills. You can explain technical decisions to engineers and non-technical colleagues, work effectively with executives and cross-functional teams, and help others put new tools into practice.

Complex, Los Angeles

8+ years in data engineering, software engineering, analytics engineering, or a related discipline, including 3+ years leading teams, technical initiatives, or data platform architecture.
5+ years each with SQL and Python, including complex data exploration, optimization, warehouse modeling, and production data or automation workflows.
3+ years each with Snowflake; AWS services such as S3, EC2, and Lambda; and Apache Airflow or comparable orchestration tools such as Dagster or Prefect.
Experience building scalable production data platforms and pipelines, with strong data quality, testing, observability, and operational practices.
Experience supporting machine learning or AI through data engineering or infrastructure; an understanding of statistical analysis, experimentation, and data science workflows; and working knowledge of LLMs, embeddings, vector search, RAG, and AI application architecture.
Strong systems design and problem-solving skills. You can explain technical decisions to engineers and non-technical colleagues, work effectively with executives and cross-functional teams, and help others put new tools into practice.