Senior Enterprise Data Architect - Cloud & ML Platforms

The Value Maximizer; Kentucky; Hybrid; USD 120,000 - 150,000; Full time

Job summary

A leading consultancy is seeking an experienced Enterprise Data Architect to collaborate with stakeholders, build data pipelines, and support cloud-based solutions on AWS. The ideal candidate will have 12+ years of experience in data engineering, a strong background in big data frameworks, and proven skills in Python and MLOps. This role emphasizes mentoring junior team members and engaging with clients to shape data modernization initiatives. Strong communication skills and experience in Agile environments are essential.

Qualifications

• 12+ years of experience in data engineering, data analytics, or enterprise data consulting.
• Strong hands-on experience with big data and distributed data platforms.
• Experience supporting cloud-based data platforms, preferably AWS.

Responsibilities

• Partner with stakeholders to analyze data requirements.
• Design and support end-to-end data pipelines.
• Lead ETL/ELT development ensuring performance and data accuracy.

Skills

Data engineering

Data analytics

Python

ETL/ELT design

Big data platforms

MLOps

Agile/Scrum

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Spark

Hadoop

AWS

Jira

Job description

A leading consultancy is seeking an experienced Enterprise Data Architect to collaborate with stakeholders, build data pipelines, and support cloud-based solutions on AWS. The ideal candidate will have 12+ years of experience in data engineering, a strong background in big data frameworks, and proven skills in Python and MLOps. This role emphasizes mentoring junior team members and engaging with clients to shape data modernization initiatives. Strong communication skills and experience in Agile environments are essential.