Senior Data Analytics Architect

Living Spaces; La Mirada (CA); On-site; USD 109,575 - 146,100; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k) with company match

Vacation

Paid Sick Leave

Flex spending account

Employee Assistance Program

Holiday pay

Life insurance

Job summary

Living Spaces in La Mirada, CA seeks a Senior Data Analytics Developer to design, test, and maintain data integrations and quality processes. You will optimize pipelines from Data Warehouse to downstream data marts, and implement complex integrations with external cloud sources.

Ideal candidates have 5+ years of data analytics experience, strong SQL and Python skills, and familiarity with BI tools, data warehousing, and cloud platforms like AWS/Azure.

Qualifications

• Bachelor's degree in computer science or engineering or related field and 5+ years of data analytics experience.
• Experience managing end-to-end data solutions in Agile environments.
• Proficiency with SQL-based querying, BI/reporting tools, and data warehousing concepts.

Responsibilities

• Architect, build, and launch data models to provide actionable insights for stakeholders.
• Design data architecture for seamless integration across data domains.
• Develop, test, and maintain ETL pipelines from data warehouse to marts.
• Create and optimize data connections using cloud-based APIs with a focus on security.
• Lead cross-team initiatives and deliver end-to-end analytics solutions.

Skills

SQL

Python

Java

JavaScript

PHP

.NET/C#

Education

Bachelor's degree in computer science or engineering

Tools

SSIS

Tableau

Alteryx

Dynamics CRM

Dynamics AX 2012

AWS

Azure

Data Lake

Job description

Living Spaces in La Mirada, CA seeks a Senior Data Analytics Developer to design, test, and maintain data integrations and quality processes. You will optimize pipelines from Data Warehouse to downstream data marts, and implement complex integrations with external cloud sources.

Ideal candidates have 5+ years of data analytics experience, strong SQL and Python skills, and familiarity with BI tools, data warehousing, and cloud platforms like AWS/Azure.