Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Metro location, broad in-demand data engineering stack and common title drive high applicant competition.
Core cloud data engineering skills are transferable, though financial/regulatory experience is preferred.
Explicit 8+ years, leadership expectation, and specific cloud/data stack enforce high shortlisting strictness.
Lead and architect migration of legacy data pipelines to AWS-native cloud data ingestion and integration patterns, ensuring scalability and governance.
Develop and standardize secure, high-performance APIs and reusable integration modules aligned with enterprise architecture standards.
Build and lead a high performing data engineering team while collaborating cross-functionally to ensure reliable data availability and enforce enterprise data standards.
8+ years of experience in data engineering, software engineering, and/or cloud engineering.
Bachelor’s degree in Data Science, Computer Science, or related field (Master’s degree preferred).
Hands-on experience with AWS data lake services (S3, Glue, Lake Formation), data pipeline orchestration (Airflow, Step Functions), programming in Python/SQL, and infrastructure-as-code tools (Terraform/CloudFormation).
Experience with data governance tools (e.g., Unity Catalog, Collibra), data modeling, batch and real-time data processing, and secure data onboarding.
Proven leadership in building and managing high performing engineering teams focused on data modernization and cloud-native architectures.
Strong architectural instincts with a focus on automation, reusable components, and operational excellence in cloud data ecosystems.
Experience in migrating legacy systems to cloud, working with federated data product models, and collaborating closely with cross-team stakeholders across regulated environments.