Azure Data Warehouse Architect

The Smart
Tallahassee, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tallahassee, United States of America

Tech stack

Amazon Web Services (AWS)
Azure
Big Data
Cloud Database
Information Systems
Databases
Data Architecture
Information Engineering
Data Governance
ETL
Data Mart
Data Transformation
Data Security
Data Structures
Data Systems
Data Warehousing
Python
Operational Data Store
Performance Tuning
Role-Based Access Control
Requirements Management
Azure
Database Optimization
Spark
Information Technology
Collibra
Azure
Databricks

Job description

The Data Architect supports enterprise data warehouse modernization initiatives within a large-scale public sector environment. This role focuses on designing scalable data architectures, developing enterprise data models, and implementing cloud-based data engineering solutions using Azure technologies. The position works closely with cross-functional teams to deliver high-performance, governed, and secure data solutions supporting mission-critical systems. Key Responsibilities Enterprise Data Architecture & Modeling

  • Design and maintain enterprise logical and physical data models
  • Support architecture across operational data stores, data warehouses, and data marts
  • Develop source-to-target mappings and data transformation specifications
  • Ensure data structures align with scalability requirements and modernization goals

Data Governance, Quality & Lineage

  • Define and enforce data architecture standards, naming conventions, and governance processes
  • Develop and maintain data lineage documentation and traceability frameworks
  • Establish data quality rules and validation processes
  • Ensure compliance with security, privacy, and regulatory standards

Azure Data Engineering & ETL Architecture

  • Design and optimize enterprise ETL pipelines and data acquisition processes
  • Develop scalable cloud data solutions using Azure Data Factory, Databricks, Synapse, and Purview
  • Implement performance optimization, error handling, and recovery strategies
  • Support high-availability and high-performance data environments

Database Optimization & Technical Leadership

  • Provide expertise in database performance tuning, indexing strategies, and resource optimization
  • Serve as a subject matter expert for data architecture, modeling, and integration patterns
  • Collaborate with developers, analysts, and stakeholders to align data solutions with requirements

Documentation & Continuous Improvement

  • Maintain architecture documentation, data models, mappings, and governance artifacts
  • Support audit readiness and knowledge transfer initiatives
  • Contribute to continuous improvement of data architecture frameworks, standards, and tools

Requirements

Do you have experience in Scalable systems?, Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent professional experience

  • 7 or more years of experience in enterprise data architecture, ETL development, or data engineering
  • 3 or more years of hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse, and Azure Purview
  • Strong experience with Spark, Python, or Scala for large-scale data processing
  • Advanced SQL expertise supporting complex data warehouse environments
  • Strong understanding of data governance, Azure RBAC, and enterprise security protocols
  • Proven experience designing scalable ETL pipelines and cloud data architectures
  • Experience supporting enterprise database environments and large-scale data transformations

Preferred Qualifications

  • Experience with AWS data warehouse technologies including S3 or DataSync
  • Knowledge of compliance requirements including criminal justice, healthcare, or personal data regulations
  • Microsoft Azure or Databricks certifications

Core Skills & Attributes

  • Strong data modeling and architecture design expertise
  • Ability to design scalable, high-performance data solutions
  • Strong analytical and problem-solving capability
  • Effective communication with technical and business stakeholders
  • Attention to data quality, governance, and compliance standards
  • Ability to operate in complex, regulated enterprise environments

Benefits & conditions

  • Competitive salary

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