Director of Data Engineering - Sao Paulo, Brasil - SecurityScorecard

Descrição

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr.

Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard's patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace," by Crain's NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row.

Most recently, SecurityScorecard was named to Fast Company's annual list of the World's Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing "forward-thinking employers for their unwavering commitment to employee engagement." SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody's, Sequoia Capital, GV and Riverwood Capital.

About The Role:

We are seeking a highly skilled and experienced professional to join our team as the Director of Data Engineering.

In this role, you will provide strategic leadership and technical expertise to drive the success of our data engineering department.

As the Director, you will be responsible for leading a team of managers, coaching them, and ensuring the smooth execution of data engineering projects.

This position reports directly to the Senior Vice President of Engineering.


What you will do:

• Lead and mentor a team of data engineering managers, fostering a collaborative and highperformance culture.
• Provide strategic direction and technical guidance to the data engineering team, aligning their efforts with the overall business objectives.
• Collaborate with crossfunctional teams, including product management and design, to ensure seamless product development and delivery.
• Drive innovation and continuous improvement in product engineering processes, methodologies, and tools.
• Develop and implement strategies to enhance the scalability, efficiency, and reliability of data engineering operations.
• Work closely with the SVP of Product Engineering to establish and execute departmental goals and objectives.
• Monitor and analyze key performance indicators, identifying areas for improvement and implementing corrective actions as needed.
• Build strong relationships with stakeholders, including executives, clients, and partners, to understand their requirements and deliver exceptional products.
• Stay uptodate with industry trends, emerging technologies, and best practices in product engineering, and incorporate relevant advancements into the organization.
• Collaborate with the HR department in talent acquisition, onboarding, and talent development initiatives within the product engineering team.

Responsibilities:

• Lead a team of data engineering managers, providing guidance, support, and coaching to ensure their success and professional growth.
• Oversee the execution of data development projects, ensuring adherence to timelines, budgets, and quality standards.
• Foster a culture of innovation, collaboration, and accountability within the product engineering department.
• Develop and maintain effective communication channels to facilitate crossfunctional collaboration and knowledge sharing.
• Collaborate with the SVP of Product Engineering to define and execute the department's strategic roadmap.
• Conduct regular performance evaluations, set performance goals, and provide ongoing feedback to team members.
• Identify and address skill gaps within the team, providing training and professional development opportunities as necessary.
• Manage resources effectively, including budget allocation, project prioritization, and workload distribution.
• Ensure compliance with relevant industry standards, regulations, and best practices in product engineering.
• Drive a culture of continuous improvement, promoting the adoption of agile methodologies and modern engineering practices.

Qualifications:

• This role is highly technical. You must have a deep understanding of largescale data engineering tools, technologies, and architecture.
• Proven experience (8+ years) in data engineering, with a strong focus on software development and technologydriven products.
• Demonstrated experience in leading and managing crossfunctional engineering teams, including coaching and mentoring managers.
• Extensive knowledge of product development methodologies, processes, and tools, with a track record of successful product launches.
• Strong business acumen and the ability to align technical decisions with strategic goals and customer needs.
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