Analytics Engineering Manager

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com.

Our Data Analytics team is the central hub for Egnyte’s data infrastructure and enables the business by providing data in multiple forms. The Analytics Engineering sub-team keeps its prime focus on the data itself but does so while employing software engineering standards (CI/CD, code reviews, version control, etc.) and best practices to maintain a high quality of delivered solutions.

You will help us model Egnyte’s data into our Semantic Layer, redistribute the data via reverse ETL processes, maintain our data at a high quality, and provide technical guidance to analysts and business users. As the Analytics Engineering Manager, you will lead and mentor the team, driving its growth and development. In this role, you will also lead the development and optimization of the semantic layer architecture. You will lead by example, working closely with your team members and staying actively involved in coding and technical implementations.

WHAT YOU’LL DO:

• Manage a team (including recruitment and retention, driving career growth, providing business context, and supporting operations for team members)
• Collaborate across departments to apply our data strategy and corporate-wide data definitions that meet the demands of our fast-growing business
• Take responsibility for delivering new data assets and enhancing the quality and functionality of existing ones
• Understand the team's capabilities and workload, ensuring alignment with the project roadmap
• Develop, maintain, and optimize the semantic layer architecture in dbt, ensuring accurate and efficient data modeling that supports business intelligence, insights, and analytical needs
• Design, build, and validate data transformation pipelines to create data models
• Oversee product management activities, including verifying and defining the scope for data products to ensure alignment with business objectives and user requirements
• Document our data models, logic, and the raw data itself
• Perform internal code & data reviews
• Monitor our data and solve data quality issues
• Lead initiatives to improve processes, enhance code quality, and increase the efficiency of project delivery across the team

YOUR QUALIFICATIONS:

• You are a leader who serves others, believing that the team's achievements reflect your own
• Ability to mentor and develop team members, providing guidance and support to help them achieve their full potential and advance their skills within the organization
• Your exceptional communication skills, both written and spoken, enable you to interact effectively with senior leaders across the company
• You have a deep understanding of dbt (cloud or core) and are able to develop data models and create and maintain dbt architecture and strategy.
• You possess extensive experience in SQL, both data definition and data manipulation
• You are experienced with data tools and platforms, including BigQuery.
• You also have experience with Python tools used in data engineering
• You have expertise in understanding business strategy and metrics
• You bring over 3 years of experience in leading a team
• You have more than 5 years of experience in data-related roles such as data engineering or data analytics

BENEFITS:

• Attractive salary package based on skillset
• Company equity depending on role and level
• Your own Egnyte account with lifetime access to 50 TB of cloud storage
• Great office space overlooking Lake Malta. We enjoy working there. We know how to effectively work in a hybrid model.
• MyBenefit: you can choose a MultiSport card or gift cards every month
• Private medical healthcare
• In-house English classes