Data Analytics Cloud Architect

Centraprise; Plano (TX); On-site; USD 130,000 - 160,000; Full time

Job summary

A leading technology company located in Texas is looking for an experienced professional in enterprise architecture. The ideal candidate will have over 10 years of experience focusing on data platforms, hands-on expertise with AWS services, and proficiency in Databricks. Responsibilities include designing data architectures and managing stakeholder relationships effectively. This is an onsite role from day one, offering engagement in various projects involving cutting-edge technology.

Qualifications

• 10+ years of experience in enterprise architecture with a focus on data platforms.
• Hands-on experience with AWS services including EMR, S3, Glue, Lambda, and Redshift.
• Proficiency in Databricks for data engineering and analytics workloads.
• Strong knowledge of Snowflake architecture and performance tuning.
• Experience with data lake and lakehouse design patterns.

Skills

Enterprise architecture

AWS services (EMR, S3, Glue, Lambda, Redshift)

Databricks

Snowflake architecture

Data modeling

Excellent communication

Stakeholder management

Job description

Overview

Location: Seattle, WA / St. Louis, MO / Plano, TX / Dallas, TX / Houston, TX (Onsite from Day 1)

Job Description:

Qualifications

• 10+ years of experience in enterprise architecture with a focus on data platforms.
• Hands-on experience with AWS services including EMR, S3, Glue, Lambda, and Redshift.
• Proficiency in Databricks for data engineering and analytics workloads.
• Strong knowledge of Snowflake architecture, performance tuning, and data sharing capabilities.
• Experience with data lake and lakehouse design patterns.
• Familiarity with data modeling, ETL/ELT pipelines, and real-time data processing.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• AWS Certified Solutions Architect or equivalent certification.
• Experience in regulated industries such as finance, healthcare, or manufacturing.
• Knowledge of DevOps practices and CI/CD pipelines for data workloads.
• Experience with data cataloging and metadata management tools.