Senior Data Platform Engineer - AWS & BI Leader

Global Overview; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Global Overview is seeking a Senior Full Stack Engineer to architect, develop, and support scalable data solutions powering business intelligence and analytics. You will set technical direction, mentor engineers, and partner with product owners, BI analysts, and stakeholders to translate complex requirements into robust cloud-based data platforms.

In this role you will own data warehouse design, drive data quality, and lead efforts from architecture through delivery, leveraging AWS, Python, and

Qualifications

• Bachelor's degree in Computer Science, MIS, or Engineering preferred.
• 7+ years of front end, back end, and data warehousing experience with senior/lead capacity.
• Deep hands-on experience with AWS (including Redshift), PostgreSQL, Python.

Responsibilities

• Lead architectural design and technical strategy for data warehouse and data flows.
• Partner with stakeholders to translate requirements into value-added technology solutions.
• Own end-to-end data transformation processes to populate warehouse tables for reporting.

Skills

Front end development

Back end development

Data warehousing

Architectural decisions

Leadership / mentoring

SQL & relational DB

AWS (Redshift)

Python

CI/CD tooling

Tableau / BI tools

Data integrity

Scrum / Agile

Education

Bachelor's Degree in Computer Science, MIS, or Engineering

Tools

AWS

Redshift

PostgreSQL

GitHub

Jenkins

Tableau

Qlik

Quicksight

ETL tools (Glue, Alteryx)

Job description

Global Overview is seeking a Senior Full Stack Engineer to architect, develop, and support scalable data solutions powering business intelligence and analytics. You will set technical direction, mentor engineers, and partner with product owners, BI analysts, and stakeholders to translate complex requirements into robust cloud-based data platforms.

In this role you will own data warehouse design, drive data quality, and lead efforts from architecture through delivery, leveraging AWS, Python, and