Remote Senior Engineering Manager, Data Engineering

Get to Know Us
Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by IT Ops/SecOps teams, consulting pentesters, and MSSPs and MSPs.
We are a fusion of former U.S. Special Operations cyber operators, startup engineers & operators, and formerly frustrated cybersecurity practitioners. Were committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.
As a remote first company, we require minimum 25Mbps consumer grade broadband connection.

What You’ll Do
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
You will:
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.

What You’ll Bring :
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.

Nice to Haves:
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.

Travel Requirements
We are a fully remote company, and this job may require up to 10% travel to be successful.

Compensation and Values
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.

Perks of Horizon3.ai
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
Horizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, hair length or any other legally protected status by law.
Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.
We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.

Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice.

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.