Data Solutions Architect

Particle41; United States; Remote; USD 95,000 - 150,000; Full time

Job summary

Particle41 is seeking a Data Consultant to design, build, and maintain robust data pipelines and infrastructure for client data needs. You will collaborate with cross-functional teams to deliver end-to-end data solutions, ensuring high-quality, scalable data delivery and effective data governance.

The role involves ETL design, data storage optimization, integration of diverse datasets, and continuous learning in cloud data engineering.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of data engineering experience.
• Proficiency in Python and SQL; NoSQL experience.
• Experience building ETL pipelines and data warehouses/lakes.
• Familiar with cloud data platforms (AWS/Azure/GCP) and Git.

Responsibilities

• Design, build, and maintain scalable ETL pipelines to process large data volumes.
• Create and optimize data storage solutions (data lakes/warehouses) for efficient access.
• Integrate structured and unstructured data from multiple systems for unified analysis.
• Ensure data quality through validation, cleansing, and transformation processes.
• Document data processes and promote best practices for efficient workflows.

Skills

Python

SQL

NoSQL

ETL

Data warehousing

Spark

Flask API

Linux shell

Education

Bachelors in CS/Engineering

3+ years data engineering

Tools

Cloud platforms

Git

ELK stack

Redis

Pandas

OpenCV

Scikit-learn

Data Lakes/Warehouses

Job description

Particle41 is seeking a Data Consultant to design, build, and maintain robust data pipelines and infrastructure for client data needs. You will collaborate with cross-functional teams to deliver end-to-end data solutions, ensuring high-quality, scalable data delivery and effective data governance.

The role involves ETL design, data storage optimization, integration of diverse datasets, and continuous learning in cloud data engineering.