Vacancy:** Lead Data Engineer Grade: lead Company: JETLYN Format: remote Location: Russia Citizenship: RF Salary Range: from 300,000 to 420,000 rubles net per month Employment Type, Format: Labor Contract / Sole Proprietor

🟡 About the Role We are looking for an experienced leader who will take responsibility for our company's data architecture and the development of the engineering team. You will not only write code but also define the technological strategy, ensure data reliability (SLA), and build scalable solutions for Big Data.

🟡 Key Responsibilities Architecture and Strategy:

• Strategic design of the company's data architecture, considering current and future business objectives.
• Design of scalable and fault-tolerant Big Data solutions.
• Selection and implementation of technology stacks for data storage and processing (SQL/NoSQL databases, cloud platforms).
• Preparation of technical documentation and presentations for management on data infrastructure development.

Team Management and Development:

• Leading the data engineering team: task assignment, deadline and quality control.
• Training and mentoring junior engineers: knowledge transfer, complex case analysis.
• Conducting code reviews and refactoring of pipeline code written by team members.

Development and Processes:

• Optimization of existing pipelines: improving processing speed, reducing resource costs, automation.
• Implementation of CI/CD practices for data infrastructure and pipelines.
• Development of data handling standards and regulations (quality, security, access policies).
• Responsibility for ensuring SLA compliance for data availability and delivery speed to consumers.
• Coordination with other departments (analytics, development, information security) on data integration and usage issues.
• Analysis of new technologies and tools in the data field, piloting and implementing promising solutions.

‼️ Requirements

• Experience: From 5 years in data development/engineering, including 1–2 years in a leadership position (Team Lead / Tech Lead).
• Architecture: Deep knowledge in data architecture design and distributed systems.
• Cloud: Solid experience with one or more cloud providers: AWS, Azure, or GCP.
• Databases: Expert knowledge of SQL and experience with NoSQL solutions.
• Big Data: Practical experience in building and supporting pipelines for processing large volumes of data (BigData).
• Processes: Understanding of CI/CD principles, experience setting up code reviews, ability to work within SLA.
• Leadership: Team leadership, mentoring, and cross-functional collaboration skills.

Will be a plus

• Experience with cloud data migration.
• Knowledge of orchestration tools (Airflow, Dagster, etc.).
• Experience implementing Data Mesh or Data Fabric approaches.