Brown & Brown is seeking a Sr ETL Integration Developer to lead the design and architecture of complex data integration solutions, drive innovation, mentor junior engineers, and ensure alignment with enterprise data strategy and governance.
Requirements
- Expertise in SQL, Python, and cloud-native data services (e.g., Azure, AWS).
- Proven expertise in designing and implementing modern data platforms (e.g., data lakes, lakehouses, data mesh).
- Knowledge of data modeling (conceptual, logical, physical), metadata management, and data lineage.
- Strong command of SQL, data integration (ETL/ELT), and cloud-native data services (e.g., Azure Data Factory, Databricks, Snowflake).
- Experience with data governance, privacy, and security frameworks (e.g., HIPAA, GDPR, data classification).
- Familiarity with AI/ML data pipelines and support for model development and monitoring.
Responsibilities
- Architect and lead development of scalable ETL/ELT pipelines and integration frameworks.
- Optimize performance, security, and maintainability of data workflows.
- Conduct data profiling and propose quality improvement strategies.
- Mentor junior engineers and provide technical leadership.
- Evaluate emerging technologies and recommend enhancements.
- Maintain enterprise data architecture blueprints, including data models, integration patterns, and metadata standards.
- Follow architectural guardrails for data movement, storage, and access across cloud and on-prem environments.
Other
- Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.
- Collaborate with business stakeholders to align data solutions with strategic goals.
- Collaborate with data engineers, analysts, and business stakeholders to translate business needs into robust data solutions.
- Ensure alignment with data governance, privacy, and security standards.
- Guide the selection and implementation of data tools, platforms, and frameworks.
