Senior Data Engineer – Snowflake & Cloud Platforms

Job Description

We are seeking a Senior Data Engineer to design and build scalable data solutions in a modern cloud environment. This role requires strong hands-on experience with Snowflake, cloud platforms, and modern data engineering architectures, along with the ability to collaborate closely with business stakeholders to translate requirements into robust technical solutions.

The successful candidate will work across global teams to develop high-quality data pipelines, support governance initiatives, and contribute to building advanced data platforms supporting analytics and AI initiatives.

This role requires a proactive engineer who can combine strong technical skills with effective communication, documentation, and collaboration across cross-functional teams.

Key Responsibilities

• Design, develop, and maintain data engineering solutions based on business requirements and technical design specifications.
• Build scalable data pipelines and architectures supporting analytics and advanced data platforms.
• Work closely with stakeholders to gather business requirements and translate them into technical specifications.
• Collaborate with distributed teams to implement metadata management and data governance practices.
• Ensure data solutions meet functional and technical requirements through testing, validation, and quality checks.
• Develop and maintain documentation covering data models, data flows, pipelines, and system architecture.
• Organize and analyze large, complex datasets to support analytics and decision-making initiatives.
• Implement appropriate data security controls, encryption, and auditing mechanisms to support compliance requirements.
• Promote best practices in code management, automated testing, deployment, and peer reviews.
• Present technical solutions and analytical findings clearly to technical and non-technical stakeholders.
• Work with program management to update project timelines, identify risks, and develop mitigation strategies.
• Support adoption of governance practices by collaborating with internal teams responsible for data stewardship.

Required Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related technical discipline.
• Strong experience working with data warehouse platforms such as Snowflake.
• Hands-on experience with cloud platforms such as AWS, Azure, or similar environments.
• Familiarity with distributed systems, containerization, Kubernetes, and microservices architecture.
• 3+ years of experience in data engineering or data analytics roles.
• Strong proficiency in SQL and Python for data processing and analysis.
• Experience designing data models and scalable data pipelines.
• Solid understanding of data governance principles, data quality management, and data security practices.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences.
• Experience working within Agile development environments using tools such as Jira.
• Strong problem-solving skills and the ability to work independently in a proactive manner.

Key Competencies

• Strong technical problem solving
• Effective communication and stakeholder collaboration
• Documentation and knowledge sharing
• Adaptability and continuous learning
• Proactive ownership of tasks and deliverables
• Understanding of data management and governance best practices

Preferred Experience

• Experience contributing to AI or advanced data platform initiatives.
• Experience working with metadata management tools such as Collibra or Informatica.