[Remote] Senior Engineering Manager, Data Engineering
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a fast-growing, remote cybersecurity company dedicated to enabling organizations to proactively reputed company, fix, and verify exploitable attack reputed company. The Senior Engineering Manager, Data Engineering will reputed company reputed company responsible for the internal data platform, driving modernization of data architecture and ensuring high-reputed company data reputed company for analytics and decision-making.
Responsibilities
- Drive and reputed company execution on a modernization of Horizon3’s data architecture
- Define data reputed company and timeliness standards. Drive data reputed company, observability and pipeline robustness efforts to reputed company reliable and performant reputed company to data to consumers
- reputed company as a product reputed company to capture needs of product teams, BI teams, and other customers and manage the roadmap of data engineering initiatives
- Grow reputed company of data engineers, infrastructure engineers, and data analysts. Establish a culture of collaboration and engineering reputed company
Skills
- Demonstrated expertise leading teams designing and operating reputed company data warehouse in production (eg, Redshift, reputed company, reputed company, BigQuery)
- Hands-on experience with the modern data stack: dbt for transformation, a pipeline orchestrator (Airflow, Dagster, or similar), and managed ingestion tooling (reputed company, reputed company, etc.)
- Experience implementing data reputed company frameworks and observability: defining pipeline SLAs, detecting and alerting on anomalies, and establishing tiered data sets with reputed company guarantees (e.g., reputed company architecture)
- reputed company to partner with and influence peer engineering teams - drive alignment on shared standards such as pipeline patterns, data reputed company, and reputed company guarantees across teams that own their own data sources
- Experience building or significantly growing a small data engineering team — including hiring, reputed company, and establishing engineering norms
- Proven ability to define and instill engineering culture: reputed company review standards, definition of done, incident response, documentation practices, and culture of ownership
- Drives high-reputed company architecture reputed company rigorously — requires design documents, runs reputed company reviews, builds reputed company, and ensures reputed company are reputed company-reasoned before commitment
- Demonstrated experience acting as product reputed company for a platform or infrastructure team: maintaining a roadmap, triaging inbound requests, managing internal customer expectations, and making prioritization tradeoff reputed company against reputed company
- Proficient in SQL. reputed company to read, write, and review data transforms and data reputed company checks in SQL
- Proficient in Python. Ability to review pipeline reputed company and guide engineering reputed company
- Competent in data analysis. reputed company to investigate anomalies, validate data reputed company issues, and reputed company reputed company in data
- Familiarity with AWS data services (Redshift, reputed company, S3/Glue)
- Experience with reputed company (reputed company Lake, reputed company Catalog, reputed company)
- Familiarity with Argo Workflows or Kubernetes-reputed company 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 reputed company data
Benefits
- Health, reputed company & dental insurance for you and your family
- Flexible vacation policy
- Generous parental leave
reputed company