Lead Data Engineer

As the Data Engineer you will be responsible for designing, building, and maintaining the data engineering function for a remote-first technology organization.This role oversees the full lifecycle of data architecture, pipelines, modeling, tooling, and reliability. It also involves operational duties and direct collaboration with technical leadership, including defining the complete data engineering strategy from the ground up.Key ResponsibilitiesArchitect, implement, and maintain scalable data pipelines across core systemsBuild and manage analytics infrastructure using both open-source and commercial tools. Ensure data quality and schema discipline for operational reliabilityDeliver clean, consistent models and dashboards utilized by multiple teamsCollaborate with stakeholders to support analytics, business intelligence, and decision-making initiatives. Requirements5+ years hands-on data engineering experience; big plus if you've been the first data hire beforeStrong SQL plus real programming ability (Python preferred)Production experience with data tooling (Airflow, dbt, Fivetran)Experience integrating APIs and working with warehouses/lakes such as Redshift, ClickHouse, or similarExperience with analytics/BI tools (Metabase, Looker, Table­au, PowerBI, etc.). Comfortable with cloud infrastructure and IaC (AWS strongly preferred)Soft skills to understand business needs and collaborate with non-tech teams on their use casesEmbedded and real time analytics experience is a plusStreaming architectures (Kinesis/Kafka), ClickHouse, ELK, VictoriaMetrics, reverse-ETL is a plusBenefitsCompetitive payUnlimited PTO