Data Platform Engineering Manager

2 semanas atrás

São Paulo, São Paulo, Brasil Signifyd Tempo inteiro

About the Role

We're seeking an exceptional Engineering Manager to lead our data platform engineering team at Signifyd. This is a unique opportunity to leverage your leadership skills, technical expertise, and personal qualities to drive excellence in our data platform.

Key Responsibilities

  1. Guide the career development of team members, manage conflicts, and foster a positive work environment.
  2. Develop career plans with team members, provide guidance on skill development, and follow up on their progress.
  3. Set clear goals, mentor the team, and promote a collaborative environment.
  4. Oversee project lifecycles, from concept to delivery, ensuring projects are completed on time and within scope.
  5. Work closely with technical product managers and other stakeholders to align technology solutions with business objectives.
  6. Lead the team in delivering reliable, scalable, and high-availability solutions, staying updated on industry trends to drive innovation.
  7. Encourage a culture of learning and improvement, provide technical guidance, and support team members in both technical and soft skills.
  8. Engage in regular 1:1 meetings with team members, provide constant feedback, and create a safe environment for open discussion.
  9. Conduct technical and executive interviews, train the team on interviewing techniques, and ensure a smooth recruitment process.
  10. Identify and address gaps in team capabilities and processes to enhance team efficiency and success.
  11. Apply statistical analytical techniques to tackle complex data challenges, innovate with new technologies and methods to solve business problems, and work on diverse, geographically distributed project teams.

Requirements

  1. Ideal candidates will have over 10 years of experience in data or software engineering and 3 years of proven experience in people management, including guiding career development, addressing conflicts, and fostering a healthy work environment.
  2. Excellent communication skills, comfortable working in dynamic environments, and able to work independently without close supervision.
  3. Autonomous in recognizing priorities, evaluating the impact of outcomes, and passionate about software development with a focus on high quality.
  4. Strong leadership skills, capable of mentoring engineers and promoting a collaborative, high-performing team culture.
  5. Deep understanding of data processing, comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing.
  6. Experience with the latest technologies and trends in Data and Cloud platforms.
  7. Ability to communicate effectively with teams and stakeholders, providing clear written and verbal communication.
  8. Creative problem-solving skills, continuously seeking improvements for processes and solutions.
  9. Leadership and mentorship demonstrate the ability to mentor engineers, fostering their growth and development, and you have successfully partnered with product and machine learning teams on strategic data initiatives.
  10. Commitment to quality, you take pride in delivering work that excels in data accuracy, performance, and reliability, setting a high standard for the team and the organization.

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