Senior Engineering Manager, Data Engineering

🕒 Maio 5

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Horizon3.ai

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2019

A plataforma NodeZero™ capacita sua organização a continuamente encontrar, corrigir e verificar sua superfície de ataque explorável. Reduza seu risco de segurança ao encontrar autonomamente fraquezas em sua rede, sabendo como priorizá-las e corrigi-las, e verificando imediatamente se suas correções funcionam. O NodeZero oferece pentests autônomos seguros para produção e outras operações de avaliação chave que escalam através de seus maiores ambientes internos, externos, em nuvem e em nuvem híbrida. Sem necessidade de agentes, sem código para escrever e sem consultores para contratar. Somos uma fusão de ex-operadores cibernéticos das Operações Especiais dos EUA, engenheiros de startups e praticantes de cibersegurança anteriormente frustrados. Estamos comprometidos em ajudar a resolver nossos problemas comuns de segurança: ferramentas de segurança ineficazes, falsos positivos resultando em fadiga de alerta, pontos cegos, cultura de segurança "para cumprir tabela", escassez de habilidades em cibersegurança e o longo tempo e custo de contratar consultores externos.

Descrição

• Lead the team that provides the internal data platform that powers analytics and operational decision-making across Horizon3 • Drive and lead execution on a modernization of Horizon3’s data architecture. • Define data quality and timeliness standards. Drive data quality, observability and pipeline robustness efforts to provide reliable and performant access to data to consumers. • Act as a product owner to capture needs of product teams, BI teams, and other customers and manage the roadmap of data engineering initiatives. • Grow a team of data engineers, infrastructure engineers, and data analysts. Establish a culture of collaboration and engineering excellence.

🎯 Requisitos

• Demonstrated 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 sources. • Experience building or significantly growing a small data engineering team — including hiring, onboarding, and establishing engineering norms. • Proven ability to define and instill engineering culture: code review standards, definition of done, incident response, documentation practices, and culture of ownership. • Drives high-impact architecture decisions rigorously — requires design documents, runs structured reviews, builds consensus, and ensures decisions are well-reasoned before commitment. • Demonstrated 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 capacity. • Proficient in SQL. Able to read, write, and review data transforms and data quality checks in SQL. • Proficient in Python. Ability to review pipeline code and guide engineering decisions. • Competent in data analysis. Able to investigate anomalies, validate data quality issues, and find insight in data. • Familiarity with AWS data services (Redshift, Athena, S3/Glue) • Experience with Databricks (Delta Lake, Unity Catalog, Spark) • Familiarity with Argo Workflows or Kubernetes-native job orchestration • Experience with high volume streaming data (Kafka, PubSub) • Experience supporting data science or ML workflows. • Exposure to cybersecurity, network telemetry, APM, or other high-volume operational SaaS data.

🏖️ Benefícios

• Health, vision & dental insurance for you and your family • Flexible vacation policy • Generous parental leave • Equity package in the form of stock options