Engineering Manager, Data

As an Engineering Manager for Data at Algolia, your primary responsibilities will include leading and mentoring the data team, overseeing the design and development of data pipelines, and ensuring the quality and robustness of APIs and services. You will also collaborate with product and leadership teams to plan and execute product releases on schedule.

Candidates for the Engineering Manager, Data role at Algolia should have more than two years of experience in a managerial or leadership capacity. A strong background in designing and operating data pipelines, coupled with experience in writing Go code and working with databases like PostgreSQL or Bigtable, is essential.

The culture at Algolia is built on values of trust, ownership, and autonomy. As an Engineering Manager, you’ll thrive in a collaborative environment that encourages innovation and values diverse perspectives. Employees enjoy a flexible workplace strategy, offering both remote and hybrid work options.

An Engineering Manager, Data at Algolia should be well-versed in technologies such as Google Cloud Platform (GCP), Kubernetes, and Terraform. Familiarity with designing data-intensive applications and writing robust code is also crucial to success in this role.

At Algolia, we are committed to the professional growth of our employees. As an Engineering Manager, you’ll have ample opportunities for mentorship, training, and cross-team collaboration. The company provides resources to enhance your technical skills and leadership capabilities, ensuring you continue to excel in your career.

To ensure quality, I advocate for rigorous testing protocols, including unit and integration tests, code reviews, and continuous deployment processes. Emphasizing communication and feedback within the team also plays a key role in maintaining high standards.

I have experience designing and optimizing data pipelines to handle high throughput. I've implemented efficient data collection methodologies, ensured reliability through monitoring tools, and utilized cloud services to scale as needed, pushing for continuous improvement.

My mentoring approach is collaborative and supportive. I focus on identifying individual strengths and areas for growth, offering constructive feedback, and facilitating learning opportunities through pair programming and training sessions.

To manage project timelines effectively, I prioritize clear communication around project scope, utilize agile methodologies for flexibility, and set milestone checks to monitor progress, ensuring timely delivery of high-quality work.

I foster an inclusive culture by ensuring every team member feels valued and heard. I prioritize diverse hiring, encourage open dialogues during meetings, and create a psychologically safe environment where all ideas are welcomed.

Key tools for managing team performance include project management software like Jira for tracking tasks, communication tools like Slack for collaboration, and performance metrics dashboards that help in assessing productivity and quality.

In the event of a conflict, I would facilitate an open discussion between the concerned parties, guiding them to express their viewpoints and work towards a common resolution. My aim is to foster understanding and collaboration.

Feedback is integral to my management style. I believe in providing regular feedback to team members while also encouraging them to give feedback to me. This two-way approach nurtures trust and leads to continuous improvement.

I stay updated by following industry blogs, participating in relevant online forums, attending conferences, and networking with other professionals. Continuous learning is vital in the fast-paced tech environment, and I prioritize it in my routine.

I have extensive experience using cloud services like GCP for data management, specifically in designing scalable data solutions using BigQuery and managing data storage and processing on Bigtable. I’ve also leveraged cloud tools for disaster recovery and performance optimization.