Manager, Data Engineering

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). They are seeking a Manager to lead Applied Data Engineering on their DataOne team, where the successful candidate will oversee the development of scalable data marts and products while driving innovation and collaboration across the organization.

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