Data Architect

SFE; Detroit (MI); On-site; USD 120,000 - 140,000; Full time

Job summary

SFE is seeking a Data Architect to define enterprise data architecture and governance. You will design scalable data models, data lakes, and data warehouses, and guide Azure-based pipelines and analytics initiatives.

You will collaborate with data engineers, analysts, and stakeholders to drive data modernization, security, and quality across the organization.

Qualifications

• Proficiency in Python, SQL, and PySpark.
• Experience with data governance, data quality, and metadata management.
• Knowledge of cloud architecture and security best practices.
• Experience with Azure DevOps and CI/CD pipelines.
• Ability to design solutions and manage stakeholders.
• Familiarity with Terraform and Infrastructure as Code.

Responsibilities

• Define enterprise data architecture, standards, and best practices.
• Design scalable data models, data lakes, data warehouses, and data pipelines.
• Lead data strategy, governance, security, and quality initiatives.
• Provide architecture guidance for Azure-based data platforms and analytics solutions.
• Collaborate with business stakeholders, data engineers, analysts, and solution architects.
• Drive performance optimization, scalability, and data modernization programs.

Skills

Python

SQL

PySpark

Data governance

Data quality

Metadata management

Cloud architecture

Security best practices

Solution design

Stakeholder management

Tools

Azure

Azure DevOps

CI/CD

Terraform

IaC

Job description

Section

Details

Job Title

Data Architect

Job Type

Full Time

Client Location

Plano, TX

Work Arrangement

Onsite

Duration

Full Time

Pay Rate / Salary

$120-$140k/yr.

Job Summary

• Enterprise Data Architecture and Data Modelling
• Azure Data Platform (ADF, Databricks, ADLS, Synapse)
• Data Warehousing, Data Lake, and ETL/ELT Architecture

Key Responsibilities

• Define enterprise data architecture, standards, and best practices.
• Design scalable data models, data lakes, data warehouses, and data pipelines.
• Lead data strategy, governance, security, and quality initiatives.
• Provide architecture guidance for Azure-based data platforms and analytics solutions.
• Collaborate with business stakeholders, data engineers, analysts, and solution architects.
• Drive performance optimization, scalability, and data modernization programs.

Required Qualifications

• Python, SQL, PySpark
• Data Governance, Data Quality, and Metadata Management
• Cloud Architecture and Security Best Practices
• Azure DevOps and CI/CD
• Solution Design and Stakeholder Management
• Terraform and IaC (Infrastructure as Code)