Lead product development in the marketing domain, focusing on software and data to enhance customer value and support the growth of the engineering organization.
About this role
Playing manager for Raksul's cross-business data engineering group, responsible for designing, building, and operating the company's data analysis infrastructure (DWH and data pipelines) across multiple business units. Leads people management (1on1s, evaluation, career development), recruiting, and mid-to-long-term data platform strategy, while also working hands-on rather than as a pure engineering manager. Acts as a bridge between data engineers and data analysts/scientists; success is measured by data platform delivery, team productivity, and member growth rather than direct business metrics. Hands-on duties include expanding the existing BigQuery DWH and pipelines, improving data availability and real-time delivery, building new DWH/ELT pipelines for new business lines, improving web behavior log collection, and automating operations. Tech stack includes Python, Git/GitHub, GCP, BigQuery, Dagster, dbt, Redash, and Looker Studio. Requires experience building and operating cloud-based data analysis infrastructure (GCP or AWS), hands-on experience with DWH environments such as BigQuery, Redshift, Snowflake, or Databricks, data pipeline construction, strong SQL/database knowledge, and prior management or tech lead experience over a team of 3+ engineers for 2+ years, plus experience in hiring, training, or evaluation. Full-time, flextime, hybrid remote/office, annual salary around 10.45 million yen.
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