Data Architect (ETL Architect) Azure Data Platform

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

ADF
Accountability
Advanced Analytics
Analytics
Apache Spark
Cloud Computing
Communication
Computer Science
Data Engineering
Data Governance
Data Integration
Data Integrity
Data Lake
Data Quality
Data Warehouse
Databricks
Extract, Transform, Load
High Availability
IT Management
Information Management
Information Systems
Management
Mentorship
Microsoft Azure
Microsoft Power BI
Python
RBAC
Regulatory Compliance
SOA
SQL
Security Controls
Technical Writing
Unstructured Data
Workflow

Job Details

Data Architect (ETL Architect) – Azure Data Platform

Working Title: ETL Architect
Location: Tallahassee, FL
Employment Type: [Contract / Full-Time]
Experience Level: Senior (7+ years)
Domain: Data Engineering | Cloud | Analytics

Direct applicants only. Third-party or agency submissions will not be considered.

Position Overview

We are seeking a highly experienced Data Architect (ETL Architect) to serve as the technical lead and primary point of communication for a mission-critical data initiative supporting the Correction Information Management System (CIMS) Data Warehouse/Data Lake on Microsoft Azure.

This role is responsible for architecting, developing, and optimizing enterprise-scale ETL/data integration pipelines, enabling secure, reliable, and high-performance access to critical data. The ideal candidate is a hands-on Azure data expert who can translate complex data into actionable insights while ensuring data integrity, governance, and compliance.

Key Responsibilities

ETL Pipeline Design & Development

  • Lead the design and development of high-performing ETL pipelines integrating data from multiple, disparate sources

  • Build efficient, reliable, and secure pipelines that meet business and operational needs

  • Use Azure Data Factory (ADF) to automate, orchestrate, and streamline data workflows

Data Integration & Transformation

  • Design and manage complex ETL workflows that extract, transform, and load data for analytics and reporting

  • Ensure data accuracy, timeliness, and security across all pipelines

  • Own data quality, validation, and resiliency, ensuring only trusted data reaches downstream systems

Azure Cloud Platform Expertise

  • Leverage ADF, Azure Databricks, Azure Synapse Analytics, Power BI, and Azure Purview

  • Process large volumes of structured and unstructured data using scalable, performance-optimized architectures

  • Integrate enterprise datasets into Azure Synapse Analytics to enable advanced analytics and reporting

Performance Optimization

  • Continuously tune and optimize ETL jobs to minimize latency and maximize throughput

  • Design architectures that support fast, reliable data access while meeting strict performance SLAs

Security, Governance & Compliance

  • Embed security and compliance best practices throughout the ETL lifecycle

  • Protect sensitive data using Azure security controls, RBAC, and governance standards

  • Use Azure Purview to manage data governance, lineage, cataloging, and compliance requirements

Collaboration & Technical Leadership

  • Partner with data engineers, analysts, business stakeholders, and security teams

  • Serve as a technical leader and mentor, providing guidance on ETL, data engineering, and best practices

  • Act as the primary technical liaison between project teams and stakeholders

Documentation & Best Practices

  • Develop and maintain detailed technical documentation for ETL processes and architectures

  • Establish and enforce best practices for data handling, ETL development, performance, and security

  • Promote a culture of quality, accountability, and continuous improvement

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, or related field,
    or equivalent work experience (year-for-year) including SOA and Microsoft Azure Cloud Solutions

  • 7+ years of experience in ETL development and data engineering

  • 3+ years of hands-on experience with:

    • Azure Data Factory (ADF)

    • Azure Databricks

    • Azure Synapse Analytics

    • Azure Purview

  • Proven experience designing and optimizing large-scale, high-availability ETL pipelines

  • Strong expertise in Spark, Python, and/or Scala

  • Advanced SQL skills and experience with complex data models

  • In-depth knowledge of data governance, security, and RBAC in Azure

  • Ability to design secure, resilient, and compliant ETL architectures

Preferred Qualifications

  • Microsoft Azure certifications, such as:

    • Azure Data Engineer Associate

    • Azure Solutions Architect Expert

    • Azure Fundamentals

  • Azure Databricks Data Engineer Associate Certification

Why Join This Initiative

  • Work on a high-impact, mission-critical data platform

  • Architect enterprise-scale Azure data solutions

  • Influence data governance, standards, and long-term architecture

  • Collaborate with experienced technical and business teams

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.