Data Architect

Parker B Associates; Michigan; On-site; USD 150,000 - 220,000; Full time

Job summary

A global Financial Services business is seeking a Senior Data Architect to join their team permanently. This role involves designing scalable data pipelines, deploying machine learning models, and utilizing AWS cloud services to enhance operational efficiency. If you have a passion for innovation and success, this opportunity could be for you.

Qualifications

• Experience with data management and analytics.
• Familiarity with machine learning engineering and data science concepts.

Responsibilities

• Design and automate scalable data pipelines for marketing analytics.
• Deploy and monitor machine learning models.
• Utilise AWS cloud services for data workflows.

Skills

Data management and analytics

Knowledge of machine learning engineering

Python

SQL

Data pipeline

Cloud

Job description

Senior Data Architect

Michigan

Permanent

$150,000 – $220,000 + Bonus

Our client is a global Financial Services business looking for a Senior Data Architect to join the team permanently.

Wouldn’t it be great to work on AI projects that actually have a big impact?

This is an exciting new opportunity within the organisation, which is looking to transform and invest in its current landscape.

• Do you want to join a business with so much untapped potential and impact?

• Would you like to work for an organisation investing in innovation?

• Do you have a passion for winning and success?

Responsibilities:

• Design and automate scalable data pipelines to support marketing analytics initiatives.
• Clean, transform, and prepare data for machine learning workflows, ensuring high data quality and accessibility.
• Deploy and monitor machine learning models by implementing robust ML engineering practices.
• Utilise AWS cloud services to orchestrate end-to-end data and machine learning workflows.
• Develop and manage Power BI Dataflows to enable seamless data integration and reporting.
• Create and maintain automated testing frameworks to ensure the reliability of data and models.
• Enhance the scalability and performance of data processes through intelligent automation strategies.
• Design and implement end-to-end process automation solutions to drive operational efficiency.

A full job spec will be provided upon request.

Skills/ Experience:

• Data management and analytics
• Knowledge of machine learning engineering and data science concepts.
• Python and SQL
• Data pipeline (Apache Airflow, Prefect, etc)
• Cloud (AWS, GCP, or Azure)

If you're interested or want further information, please apply as soon as possible.