Manager, Data Engineering

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM), seeking a Manager to lead Applied Data Engineering on their DataOne team. The role involves leading the development of high-impact data products and fostering collaboration across the company to drive innovation and enhance decision-making.

Responsibilities:

• Your first day will start with a warm welcome and technical onboarding!
• Your first 30 days will focus on getting to know HackerOne. You will join your new squad and begin onboarding - learn our technology stack (Python, Airflow, Snowflake, DBT, Meltano, Fivetran, Looker, AWS), and meet our Hackeronies
• Within 60 days, you will deliver impact on a company level with consistent contribution to high-impact, high-performance, scalable source of truth data marts and data products
• Within 90 days, you will drive the continuous evolution and innovation of data at HackerOne, identifying and leading new initiatives. Additionally, you foster cross-departmental collaboration to enhance these efforts
• After 90 days, you will:
• Deliver impact by developing the roadmap for continuously and iteratively launching high-impact, high-performance, scalable source of truth data marts and data products, and by leading and delivering cross-functional product and technical initiatives
• Be a technical paragon and cross-functional force multiplier, autonomously determining where to apply focus, contributing at all levels, elevating your squad, and designing solutions to ambiguous business challenges, in a fast-paced early-stage environment
• Drive continuous evolution and innovation, adoption of emerging technologies, and implementation of industry best practices
• Champion a higher bar for discoverability, usability, reliability, timeliness, consistency, validity, uniqueness, simplicity, completeness, integrity, security, and compliance of information and insights across the company
• Provide technical leadership and mentorship, fostering a culture of continuous learning and growth

Requirements:

• 8+ years experience as an Analytics Engineer, Business Intelligence Engineer, or similar role w/ proven track record of launching source of truth data marts, and at least 3+ years in a leadership role
• 8+ years of experience building and optimizing data pipelines, products, and solutions
• Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, and AWS
• Strong proficiency in SQL for data manipulation in a fast-paced work environment
• Strong proficiency in creating compelling data stories using data visualization tools such as Looker, Tableau, Sigma, Domo, or PowerBI
• Proven track record of having substantial impact across the company, as well as externally for the company, demonstrating your ability to drive positive change and achieve significant results
• Strong proficiency in at least one data programming language such as Python or Scala
• Experience working within and with data from business applications such as Salesforce, Clari, Gainsight, Workday, GitLab, Slack, or Freshservice
• Proven track record of driving innovation, adopting emerging technologies and implementing industry best practices
• Passion for working backwards from the Customer and empathy for business stakeholders
• Thrive on solving for ambiguous problem statements in an early-stage environment
• Excellent communication skills, and can present data-driven narratives in verbal, presentation, and written formats
• Experience shaping the strategic vision for data
• Experience designing advanced data visualizations and data-rich interfaces in Figma or equivalent
• Experience working with Agile and iterative development processes