Cloud Data Architect for Scalable AI & Analytics

Datacrew; Sun City (AZ); On-site; USD 140,000 - 190,000; Full time

Job summary

Datacrew is seeking an experienced Data Architect to design scalable, secure data platforms across cloud environments and drive governance, security, and interoperability. You will lead data modeling, integration pipelines, and modernization from on-prem to cloud, collaborating with engineers, data scientists, and analysts to ensure architectural alignment with business goals.

The role emphasizes leadership in pre-sales, architecture discussions, and ongoing optimization for performance and cost

Qualifications

• Experience designing scalable, high-performance data platforms.
• Strong data modeling (conceptual, logical, physical) capabilities.
• Expertise in data governance, security, and compliance.

Responsibilities

• Design and architect scalable, secure data platforms (Data Warehouses, Data Lakes, Lakehouse).
• Leverage PySpark, Hadoop, Kafka, and Databricks for large-scale processing.
• Develop and maintain data models aligned with governance standards.
• Architect data integration pipelines across legacy and cloud platforms (Databricks, Snowflake, AWS, Azure).
• Lead modernization from on-premises databases to cloud-native platforms (AWS, Azure, Google Cloud).
• Optimize data pipelines for performance, scalability, cost, and SLA adherence.
• Collaborate with business teams to provide technical leadership in pre-sales engagements.
• Partner with data engineers, data scientists, and IT to align architecture with goals.
• Define and enforce governance frameworks, quality standards, and security policies.

Skills

Data modeling

Big Data architecture

Distributed processing

SQL

NoSQL

ETL/ELT

Cloud migration

Tools

PySpark

Hadoop

Kafka

Databricks

Snowflake

AWS

Azure

Google Cloud

Job description

Datacrew is seeking an experienced Data Architect to design scalable, secure data platforms across cloud environments and drive governance, security, and interoperability. You will lead data modeling, integration pipelines, and modernization from on-prem to cloud, collaborating with engineers, data scientists, and analysts to ensure architectural alignment with business goals.

The role emphasizes leadership in pre-sales, architecture discussions, and ongoing optimization for performance and cost