[Remote] Senior Engineering Manager, Data Engineering

Note: The job is a remote job and is open to candidates in USA. Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to enabling organizations to proactively find, fix, and verify exploitable attack vectors. The Senior Engineering Manager, Data Engineering will lead the team responsible for the internal data platform, driving modernization of data architecture and ensuring high-quality data access for analytics and decision-making.ResponsibilitiesDrive and lead execution on a modernization of Horizon3’s data architectureDefine data quality and timeliness standards. Drive data quality, observability and pipeline robustness efforts to provide reliable and performant access to data to consumersAct as a product owner to capture needs of product teams, BI teams, and other customers and manage the roadmap of data engineering initiativesGrow a team of data engineers, infrastructure engineers, and data analysts. Establish a culture of collaboration and engineering excellenceSkillsDemonstrated expertise leading teams designing and operating cloud data warehouse in production (eg, Redshift, Snowflake, Databricks, BigQuery)Hands-on experience with the modern data stack: dbt for transformation, a pipeline orchestrator (Airflow, Dagster, or similar), and managed ingestion tooling (Fivetran, Airbyte, etc.)Experience implementing data quality frameworks and observability: defining pipeline SLAs, detecting and alerting on anomalies, and establishing tiered data sets with quality guarantees (e.g., medallion architecture)Able to partner with and influence peer engineering teams - drive alignment on shared standards such as pipeline patterns, data contracts, and quality guarantees across teams that own their own data sourcesExperience building or significantly growing a small data engineering team — including hiring, onboarding, and establishing engineering normsProven ability to define and instill engineering culture: code review standards, definition of done, incident response, documentation practices, and culture of ownershipDrives high-impact architecture decisions rigorously — requires design documents, runs structured reviews, builds consensus, and ensures decisions are well-reasoned before commitmentDemonstrated experience acting as product owner for a platform or infrastructure team: maintaining a roadmap, triaging inbound requests, managing internal customer expectations, and making prioritization tradeoff decisions against capacityProficient in SQL. Able to read, write, and review data transforms and data quality checks in SQLProficient in Python. Ability to review pipeline code and guide engineering decisionsCompetent in data analysis. Able to investigate anomalies, validate data quality issues, and find insight in dataFamiliarity with AWS data services (Redshift, Athena, S3/Glue)Experience with Databricks (Delta Lake, Unity Catalog, Spark)Familiarity with Argo Workflows or Kubernetes-native job orchestrationExperience with high volume streaming data (Kafka, PubSub)Experience supporting data science or ML workflowsExposure to cybersecurity, network telemetry, APM, or other high-volume operational SaaS dataBenefitsHealth, vision & dental insurance for you and your familyFlexible vacation policyGenerous parental leaveCompany OverviewHorizon3.ai offers an autonomous penetration testing platform that helps organizations proactively find and fix security vulnerabilities. It was founded in 2019, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is https://www.horizon3.ai.