Lead Data Integration Engineer
We are seeking a highly capable Lead Data Integration Engineer to join our team. This role offers the opportunity to work on complex, large-scale data systems that support critical business operations. You'll bring technical depth and leadership experience together to guide meaningful improvements across the data landscape. This is a great fit for someone who enjoys balancing hands-on technical analysis with strategic planning and team collaboration
Responsibilities
- Analyze the current state of data ingestion and transformation pipelines implemented by the incumbent vendor to assess their structure and performance
- Review architecture documentation and source code in detail, utilizing accelerators to support efficient code analysis
- Produce clear analysis results and complexity assessments that inform future planning decisions
- Collaborate with the discovery team on solution design and effort estimation for the target state implementation
Requirements
- A minimum of 5 years of relevant experience in Data Integration
- At least one year of experience leading and managing teams
- Good understanding of ETL/ELT processes, data warehousing, and cloud-native data integration techniques
- Experience with the AWS/Serverless stack, Snowflake, dbt, and related modern data stack technologies
- Hands-on experience with AWS Glue for building and managing data integration workflows
- Proficiency in Python for developing and maintaining data integration solutions
- Expertise in designing scalable data systems and cloud-native transformation processes
- Strong proficiency in SQL and scripting languages for data manipulation and automation
- Excellent problem-solving skills and fluent English communication at a B2 level or higher
Nice to have
- Experience with Dagster for orchestrating and managing data pipeline workflows
