Senior AI Data Engineer | Cloud-Native & MLOps

Appnovation Technologies; San Jose (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid working model

Exposure to AI platforms

Job summary

Appnovation Technologies is seeking a Senior Data Engineer to lead discovery-to-scale data initiatives, building robust data integration and analytics infrastructure for enterprise-scale AI readiness.

You will own end-to-end data pipelines (ETL/ELT), model data, and shape scalable architectures across cloud platforms, collaborating with platform engineers and cross-functional teams to deliver rapid, business-value solutions.

Qualifications

• 8–12 years of data engineering leadership experience.
• Experience designing robust, scalable data pipelines.
• Experience with cloud data ecosystems (AWS/Azure/GCP).
• Ability to navigate undocumented schemas and complex enterprise data.

Responsibilities

• Design and manage data integration, storage, and analytics infrastructure.
• Lead a discovery-to-scale data pipeline program and hand off solutions to Platform Engineers.
• Define direction across teams and drive complex data engineering initiatives.
• Architect scalable data solutions while managing technical debt.

Skills

Data pipelines

ETL/ELT

Cloud platforms

Infrastructure as Code

CI/CD pipelines

Data modeling

AI/ML readiness

Full-stack data apps

SRE & SLOs

Architectural leadership

Education

Bachelor's degree in CS/Engineering

Tools

Terraform/CloudFormation

Job description

Appnovation Technologies is seeking a Senior Data Engineer to lead discovery-to-scale data initiatives, building robust data integration and analytics infrastructure for enterprise-scale AI readiness.

You will own end-to-end data pipelines (ETL/ELT), model data, and shape scalable architectures across cloud platforms, collaborating with platform engineers and cross-functional teams to deliver rapid, business-value solutions.