Principal Engineer, Data Engineering

Jobtailor; California (MO); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Job summary

Jobtailor is seeking a senior Data Engineering Leader to drive architecture and delivery of data platforms in the cloud. You will shape lakehouse architectures, establish reusable ingestion/transformation patterns, and implement data quality, observability, and security practices.

You will also mentor a data engineering team, champion operational excellence, and collaborate across teams to ensure scalable, compliant data pipelines across AWS, GCP, and Azure.

Qualifications

• 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 (AWS, GCP, Azure).
• Designing scalable batch and streaming data pipelines.
• Implementing operational excellence.

Responsibilities

• 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.

Skills

Data Engineering Leadership

Cloud-Native Data Architecture

Data Pipeline Design

Data Quality Practices

Operational Excellence

Team Leadership

Mentoring

Education

Bachelor's degree in a relevant field

Tools

AWS

GCP

Azure

Job description

• 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