Data Engineering Lead

 

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. 

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.