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We are seeking a highly experienced Senior Data Engineer professional to lead the design, development, and operationalization of advanced data and AI/ML solutions. This role requires a strong technical foundation in cloud platforms, modern data engineering frameworks, ML system deployment, and semantic data modeling. The ideal candidate combines deep technical expertise with strong leadership and communication skills to guide teams and drive strategic initiatives across the organization.
Job Responsibility:
Lead the end-to-end design, development, deployment, and maintenance of large-scale data engineering and machine learning pipelines
Architect and operationalize AI/ML systems in production environments, ensuring high reliability, performance, and observability
Leverage cloud platforms (GCP or AWS) to build scalable, secure, and cost‑efficient data and ML infrastructure
Utilize streaming and real-time processing technologies such as Apache Kafka and Apache Flink to support event-driven architectures and advanced analytics use cases
Develop robust data transformations and semantic models using tools such as dbt
Implement and maintain Infrastructure as Code using Terraform or similar frameworks
Ensure cloud architectures follow best practices for security, compliance, and governance
Provide technical leadership, mentorship, and guidance to data engineers, ML engineers, and other stakeholders
Collaborate closely with Data Science, DevOps, Security, and Product teams to ensure cohesive delivery of data and ML initiatives
Communicate complex technical concepts clearly to both technical and non-technical audiences, supporting informed decision‑making
Maintain production AI/ML systems with focus on reliability, monitoring, versioning, and lifecycle management
Establish and uphold engineering best practices, coding standards, CI/CD frameworks, and documentation
Continuously evaluate emerging technologies, frameworks, and methodologies to strengthen the organization’s data and ML capabilities
Requirements:
Bachelor’s degree in a related field
Master’s in Data Science, Analytics, or related discipline preferred
6+ years of experience in data engineering, ML engineering, or closely related fields
Strong hands-on experience with GCP or AWS, Apache Kafka, Apache Flink and Python
Proven experience deploying, operationalizing, and maintaining AI/ML systems in production
Deep knowledge of semantic data modeling and experience with frameworks like dbt
Solid understanding of cloud security principles and compliance best practices
Experience with Infrastructure as Code (Terraform or similar)
Strong leadership, communication, and stakeholder management skills