horizon3ai - Senior Engineering Manager, Data Engineering
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Requirements
• Platform Leadership & Architecture • 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. • Team Building & Engineering Culture • 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. • Technical Expertise: • 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. • We are a fully remote company, and this job may require up to 10% travel to be successful.
Responsibilities
• You will lead the team that provides the internal data platform that powers analytics and operational decision-making across Horizon3, to make high-quality, trustworthy data available to the business • 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. • Application Note • In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Benefits
• At Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations. • In accordance with various State’s transparency regulations, we provide the following salary range information for this position: • Base salary range: $235,000 - $290,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills. • Additional compensation: All full-time roles are eligible for an equity package in the form of stock options. • Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive. • Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities. • Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking. • Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision & dental insurance for you and your family, a flexible vacation policy, and generous parental leave. • You Belong Here
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