Engineering Manager- Data Platform

Who we seek:

We’re looking for an Engineering Manager to join our Data Platform team, reporting to the Director of Engineering. As a Software Team Lead, you’ll lead a team of back-end and full-stack engineers, working closely with the Product Manager to plan, kickoff, and execute new product and feature development projects. Our ideal candidate is someone who values excellence, is hungry for success, and thrives when working with the best.

Job Summary:
As the Data Platform Manager, you'll be responsible for overseeing the design, development, and implementation of our big data architecture. You'll lead a team of data engineers and collaborate with cross-functional teams to drive data initiatives that support business objectives. Your expertise in Elastic, Kafka, and Java will be critical in ensuring the scalability and performance of our data systems.

What you’ll do:

• Lead and mentor a team of data engineers in the design and development of big data solutions.
• Architect and implement data processing pipelines using Kafka for real-time data streaming.
• Optimize and manage search capabilities using Elastic technologies.
• Collaborate with product managers, data analysts, and other stakeholders to gather requirements and translate them into technical specifications.
• Oversee code reviews, ensure best practices in coding and data handling, and maintain high-quality standards in software development.
• Stay up-to-date with emerging trends and technologies in big data and recommend improvements to our architecture and processes.
• Troubleshoot and resolve issues in a timely manner to minimize downtime and ensure system reliability.
• Contribute to strategic planning and decision-making regarding data architecture and tools.
• Collect and analyze your team’s KPIs.
• Participate in customer calls, understand their use cases, and solve their problems.
• Collaborate with software teams from Israel, Portugal, Ukraine, Poland, and India.

What you’ll bring:

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• 3+ years of experience leading software teams.
• 8+ years of experience in the software engineering field. 
• 5+ years of experience in big data technologies, with a focus on Elastic and Kafka.
• Proficiency in Java programming and experience with related frameworks.
• Strong understanding of data modeling, ETL processes, and data warehousing.
• Proven leadership skills with the ability to motivate and guide a team.
• Excellent problem-solving abilities and strong analytical skills.
• Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders.

• A solid understanding of CI/CD principles.
• Experience working with both external and in-house APIs and SDKs 

Advantages:

• Experience working directly with customers
• Experience with Docker, Kubernetes
• Experience with cloud platforms (e.g., AWS or Azure) 

What’s in it for you?!

Our people are the foundation of our success, and we prioritize offering a wide range of benefits that make our team happier and healthier.

• Equity participation - everyone shares in our success
• Flexible work arrangements - for parents, for remote workdays, etc.
• Office perks: dog-friendly environment, fully stocked fridge, gym, and exercise classes, weekly Happy Hours, free parking, evening meals
• Knowledge training & Career development tracks

Our Values:

We look for people who embody our values - Care, Do, Try & Shine.

• Care - We care about our customers and each other
• Do - We do what it takes to make a positive impact
• Try- We try our best and we don’t give up
• Shine- We shine and make it our mission to always stand out

#LI-Hybrid

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