About the role
- Design and implement scalable and secure data architecture solutions.
- Develop and optimize data pipelines, ETL/ELT workflows, and data transformation processes.
- Work hands-on with Snowflake, cloud data platforms, and modern data engineering tools.
- Collaborate with business stakeholders, architects, and engineering teams to understand requirements and deliver solutions.
- Support code reviews, performance optimization, and best practices for data engineering teams.
- Explore and implement AI/Gen AI use cases using Snowflake Cortex AI, Claude, and related technologies.
- Learn and work with Matillion for ETL orchestration and transformation activities.
- Ensure data quality, governance, scalability, and reliability across solutions.
- Strong hands-on experience in Data Architecture and Data Engineering.
- Expertise in Snowflake and cloud-based data platforms.
- Experience building and optimizing data pipelines and ETL/ELT processes.
- Strong SQL and data modeling skills.
- Good understanding of Python and modern data engineering frameworks.
- Experience working with large-scale structured and semi-structured data.
- Strong communication and stakeholder management skills.
- Experience with Snowflake Cortex AI.
- Exposure to Claude or other Gen AI/LLM technologies.
- Experience or willingness to learn Matillion.
- Knowledge of AI-driven analytics and automation use cases.
- Experience working in Agile delivery environments.
- 8+ years of overall experience in Data Engineering/Data Architecture.
- Prior experience in customer-facing or architect-level responsibilities preferred.