- Lead the architecture and delivery of data engineering capabilities
- Design and evolve lakehouse-style data architecture
- Establish reusable patterns for ingestion and transformation
- Define and run data quality and observability practices
- Build security, privacy, and compliance into pipelines
- Lead and mentor the data engineering team
Requirements
- Bachelor’s degree in a relevant field
- 8+ years of hands‑on data/software engineering experience
- Experience delivering production data platforms and pipelines in cloud environments
- Architecting and building cloud‑native data platforms (e.g., AWS, GCP, Azure)
- Designing scalable batch and streaming data pipelines
- Implementing operational excellence
Core Competencies
Demonstrates expertise in architecting and delivering cloud‑native data platforms, with a strong focus on data quality, security, and compliance. Proven ability to lead and mentor teams while implementing scalable data ingestion and transformation practices.
Highest-signal resume keywords
- Data Engineering Leadership
- Cloud‑Native Data Architecture
- Data Pipeline Design
- Data Quality Practices
- Operational Excellence
ATS Optimization Keywords
Hard Skills
- Data Engineering
- Data Architecture
- Data Pipeline Development
- Cloud Platforms
- Batch Processing
- Streaming Data Processing
- Data Transformation
- Data Ingestion
- Data Compliance
- Data Security
Soft Skills
- Team Leadership
- Mentoring
- Collaboration
- Communication
Industry Keywords
- Lakehouse Architecture
- Data Quality
- Observability
- Operational Excellence
Tools & Technologies
- AWS
- GCP
- Azure