Data Engineering Lead

Responsibilities

Technical Leadership & Delivery
• Lead Data Engineering projects, ensuring high-quality technical delivery and alignment with customer requirements.
• Provide technical guidance, mentoring, and support to Data Engineering teams.
• Design and implement scalable data architectures, data pipelines, and integration solutions. 
• Drive technical decisions and establish engineering standards, best practices, and quality assurance processes. 
• Ensure the reliability, performance, security, and maintainability of data platforms.
• Identify and resolve complex technical challenges throughout the project lifecycle.
• Collaborate with project managers and cross-functional teams to ensure successful project execution.
 
 Data Platform Engineering & Operations
• Design, develop, and optimize modern cloud-based data platforms, primarily using Databricks.
• Build and maintain robust ETL/ELT pipelines and data processing workflows.
• Implement data orchestration, automation, monitoring, and performance optimization solutions.
• Support the operation and continuous improvement of enterprise data environments.
• Establish effective DataOps practices, including CI/CD, automated testing, incident resolution, and operational monitoring.
• Ensure compliance with data governance, security, and data quality requirements.
 
Solution Architecture & Consulting 
• Work directly with customers to understand business objectives, technical requirements, and operational challenges.
• Translate business requirements into scalable, cost-effective, and sustainable technical solutions.
• Lead technical workshops, architecture discussions, and solution design sessions.
• Provide expert guidance on data platform architecture, modernization, integration, and optimization. 
• Prepare technical documentation, architectural designs, and implementation recommendations.
• Act as a trusted technical advisor to customer stakeholders.
 
Presales & Business Development Support
• Contribute to technical proposals, solution designs, and effort estimations for new opportunities.
• Support RFP and tender responses by defining technical approaches, architectures, and delivery concepts.
• Participate in customer presentations, technical demonstrations, and discovery workshops.
• Collaborate with Sales, Account Management, and Solution teams to identify and develop new opportunities.
• Contribute to the development and standardization of Data Engineering and Data Operations service offerings. 

Qualifications

Technical skills
• Minimum 7 years of professional experience in Data Engineering, Data Architecture, or related disciplines.
• Strong hands-on experience with Databricks, Apache Spark, and Delta Lake.
• Advanced proficiency in Python and SQL. 
• Solid understanding of modern data architectures, including Data Lake, Data Warehouse, and Lakehouse concepts.
• Proven experience designing and implementing ETL/ELT pipelines and complex data integration solutions.
• Strong experience with cloud-based data platforms (Azure, AWS, or Google Cloud), preferably in combination with Databricks.
• Knowledge of data orchestration, workflow automation, and CI/CD practices.
• Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to improve coding productivity, troubleshooting, testing, and documentation.
• Experience with performance optimization, data quality, monitoring, and troubleshooting.
• Understanding of data governance, access management, and security principles. 
• Familiarity with production-grade data platform operations and DataOps methodologies.
 
Professional and Leadership Skills
• Proven experience in a technical leadership role, such as Lead Data Engineer, Technical Lead, or Data Architect.
• Experience in IT consulting, systems integration, or professional technology services.
• Ability to identify and drive opportunities for applying AI-powered tools and automation to improve Data Engineering efficiency, delivery quality, and team productivity. 
• Strong analytical and problem-solving capabilities.
• Ability to translate business requirements into technical architectures and implementation plans. 
• Experience managing technical stakeholders and working directly with enterprise customers.
• Strong communication, presentation, and consulting skills.
• Ability to work independently while coordinating cross-functional and international teams. 
• Experience preparing technical proposals, estimates, and solution documentation.
• Strong ownership mindset, proactive attitude, and commitment to delivery excellence.
• Fluent English, both written and spoken.