Lead Data & Integration Engineer
Core
Designing and implementing data movement, integration architectures, and data preparation pipelines to enable GenAI workflows.
Role type
Lead Data & Integration Engineer
Builds
Data pipelines, integration interfaces, and prepared datasets for AI/LLM use cases
Domain
Enterprise Data Engineering & System Integration
Deliverable
production ML models | product features
Required skills
System analysis & design, Data flow architecture, API design (REST), Batch processing, Data transformation & mapping, SQL, Python scripting, Git workflows, CI/CD, Monitoring & logging, GenAI data preparation
Preferred skills
Informatica, Cloudera, Java, Control M, Splunk/Elastic Stack, RAG/embeddings
Technologies
Informatica, Cloudera, REST APIs, SFTP, Git, Splunk, Elastic Stack, Control M
Responsibilities
Analyze requirements to define data flows and integration designs; Design and implement data movement across systems using APIs, SFTP, and batch pipelines; Prepare and transform data for GenAI use cases (RAG, search); Coordinate integrations across the DataLake ecosystem; Support SIT, UAT, and production rollouts; Troubleshoot integration issues and ensure data quality.
Seniority
Senior, hands-on IC with leadership responsibilities