Lead Data Engineer

Accountabilities:

• Deliver scalable cloud-based data engineering solutions for enterprise clients across a variety of industries.
• Design, develop, and optimize data platforms, pipelines, and architectures that support business intelligence and analytics initiatives.
• Provide technical leadership, best practices, and guidance throughout data engineering projects.
• Collaborate directly with stakeholders during discovery, requirements gathering, solution design, and delivery phases.
• Support pre-sales activities by contributing technical expertise, solution approaches, and architecture recommendations.
• Mentor and support other engineers, helping improve technical capability and delivery quality across the team.
• Drive engineering standards, delivery excellence, and continuous improvement across multiple client engagements.
• Work with modern cloud data technologies to build reliable, scalable, and efficient data solutions.
• Contribute to the growth of the data practice by sharing knowledge, improving processes, and supporting capability development.

Requirements:

• 7–10 years of experience in data engineering, cloud computing, data warehousing, or related technical fields.
• Strong hands-on experience with modern cloud data platforms such as Snowflake, Databricks, Redshift, Microsoft Fabric, or similar technologies.
• Strong knowledge of data modelling, ETL/ELT processes, SQL, and data platform development.
• Experience designing and implementing scalable data solutions in complex enterprise environments.
• Excellent communication and stakeholder management skills with a strong consulting mindset.
• Ability to take ownership of technical decisions and step into a lead role, even without extensive previous management experience.
• Experience working with clients and translating business requirements into effective technical solutions.
• Familiarity with data architecture and solution design principles.
• Experience with tools such as dbt, Fivetran, Matillion, or similar data engineering platforms is highly desirable.
• Programming experience with languages such as Python, Java, or Scala is a plus.
• Relevant cloud or data certifications, such as SnowPro or equivalent, are advantageous.