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