Lead Engineer - Data

Experience:

Minimum 10 years of experience in data engineering or related roles, with at least 2+ years in a leadership or engineering management capacity.

Key Responsibilities

• Lead and mentor a team of data engineers, fostering growth, collaboration, and technical excellence across project delivery.

• Architect, design, and implement scalable data pipelines and processing systems using modern cloud services (AWS, GCP, Azure).

• Establish and enforce data engineering best practices, standards, and governance frameworks.

• Collaborate with business stakeholders to understand data needs and deliver actionable, scalable solutions.

• Drive the technical vision and roadmap for data infrastructure and platforms.

• Optimize data workflows for performance, reliability, and cost efficiency.

• Provide technical leadership in data modeling and ETL/ELT design.

• Conduct code reviews, ensuring scalable and maintainable solutions.

• Support teams and stakeholders with data-related problem-solving.

• Communicate technical concepts effectively to technical and non-technical audiences.

• Design and lead discovery sessions with clients and internal teams for requirement gathering and architecture alignment.

• Automate and orchestrate complex data pipelines, reducing manual effort.

• Develop and maintain high-quality documentation of architectures, requirements, and processes.

• Support pre-sales engagements, including technical solutioning and proposal development.

• Create reusable frameworks and artifacts to accelerate delivery.

• Maintain relevant cloud certifications and contribute to thought leadership.