Principal Azure Data & Cloud Solutions Architect

  • Posted 21 hours ago | Updated 21 hours ago

Overview

Remote
$60 - $75
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

Microsoft Azure
Azure Data Factory
Azure Synapse Analytics
Azure Databricks
Azure Data Lake
Azure SQL
SQL Server
Data Architecture
Data Warehousing
Data Lakes
ETL
ELT
Big Data
Apache Spark
Kafka
Hadoop
Relational Databases
NoSQL
MongoDB
OLTP
OLAP
Data Modeling
Parquet
Avro
Data Mesh
Data Mart
Data Hub
Erwin
PowerDesigner
Data Governance
Data Security
Data Cataloging
Metadata Management
Data Dictionary
GDPR
CCPA
DevOps
DevSecOps
CI/CD
Infrastructure as Code
Terraform
ARM Templates
GitHub Actions
Azure DevOps
Identity and Access Management (IAM)
Encryption
Secrets Management
Cloud Security
Azure Cloud Architecture
Networking
Monitoring and Logging
High Availability
Disaster Recovery
FinOps
Cloud Cost Optimization
Azure Cost Management
Cloudability
Cost Modeling
Forecasting
Platform Engineering
Automation
SRE
Performance Tuning
Scalability
Stakeholder Management
Architecture Leadership
Cross-Functional Team Leadership
Enterprise Data Strategy
Business Intelligence

Job Details

Job Details:

Client: Energy & Utilities Client

Job Title: Principal Azure Data & Cloud Solutions Architect

Location: Remote

Contract Length: 6 Months (Contract to Hire)

Work Mode: 100% Remote

Interview Mode: Video Interview

Years of experience: 12+ Years

Required Certifications: Azure Solutions Architect Expert, Azure DevOps Engineer Expert, or FinOps Certified Practitioner. At least one valid Azure certification is mandatory for this role.

Job Description:

Client is seeking a highly experienced Principal Solutions Architect Data Platform & Cloud Engineering to lead the design, modernization, and optimization of its enterprise data ecosystem on Microsoft Azure. This is a senior, hands-on architecture leadership role responsible for delivering scalable, secure, high-performance cloud data solutions that enable data-driven decision-making across the organization.

This role sits at the intersection of Data Architecture, Cloud Engineering, DevOps/DevSecOps, and FinOps, requiring both deep technical expertise and strong business leadership. The ideal candidate will define enterprise data standards, drive automation through Infrastructure-as-Code and CI/CD, enforce security and governance, optimize cloud costs, and mentor high-performing engineering teams.

Key Responsibilities

Data Platform Architecture & Engineering

  • Design and implement enterprise-scale Azure data architectures, including Data Lakes, Data Warehouses, and Data Integration platforms.
  • Lead the development and optimization of data pipelines, ETL/ELT workflows, and business intelligence solutions.
  • Architect solutions using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake, and Azure SQL.
  • Define and maintain conceptual, logical, and physical data models for both OLTP and OLAP systems.
  • Enable modern data architectures including Data Mesh, Data Marts, Data Hubs, and Lakehouse frameworks.

DevOps, DevSecOps & Cloud Automation

  • Design and implement CI/CD pipelines for data platforms.
  • Lead Infrastructure-as-Code (IaC) initiatives using Terraform, ARM Templates, GitHub Actions, and Azure DevOps.
  • Embed DevSecOps practices, including:
  • Identity & Access Management (IAM)
  • Secure secrets management
  • Encryption & policy enforcement
  • Vulnerability scanning and secure deployments

Cloud Security, Governance & Compliance

  • Establish and enforce enterprise data governance standards.
  • Ensure compliance with GDPR, CCPA, and enterprise security policies.
  • Implement data cataloging, lineage, metadata management, and Data Dictionary governance.
  • Drive a culture of data stewardship and secure data usage across the organization.

FinOps & Cloud Cost Optimization

  • Lead cloud cost governance and optimization strategies.
  • Implement FinOps frameworks, including:
  • Cost modeling & forecasting
  • Usage analysis & budget enforcement
  • Optimization of analytics and AI workloads
  • Utilize tools such as Azure Cost Management, Cloudability, or similar platforms.

Leadership & Business Alignment

  • Partner with business, IT, security, finance, and executive leadership to align data architecture with business goals.
  • Translate business and regulatory requirements into scalable technical solutions.
  • Mentor engineers, architects, and analysts.
  • Communicate architecture strategies clearly to both technical and non-technical stakeholders.
  • Contribute directly to the company s enterprise data and cloud transformation roadmap.

Required Qualifications

  • Bachelor s Degree in Computer Science, Information Systems, Data Science, or related field.
  • 10+ years of total IT experience, with 5+ years in Data Architecture, Data Engineering, or Cloud Architecture.
  • Hands-on expertise with:
  • Azure Data Factory, Azure Synapse, Azure Databricks
  • Azure Data Lake, Azure SQL/SQL Server
  • Advanced experience in:
  • Data Warehousing, Data Lakes, ETL/ELT
  • Big Data technologies (Spark, Kafka, Hadoop)
  • Relational & NoSQL databases (SQL Server, MongoDB)
  • Strong proficiency in OLTP & OLAP data modeling.
  • Experience with data formats such as Parquet and Avro.
  • Hands-on experience with Erwin, PowerDesigner, or equivalent data modeling tools.
  • Strong expertise in:
  • Data Governance & Data Security
  • Cybersecurity principles in cloud environments
  • Proven experience leading:
  • DevOps / DevSecOps initiatives
  • CI/CD implementation for data platforms
  • Terraform & IaC
  • Demonstrated experience in:
  • Azure FinOps / Cost Optimization
  • Cloud cost monitoring and financial governance
  • Deep understanding of Azure Cloud Architecture, including:
  • Networking
  • Monitoring & Logging
  • High Availability & Disaster Recovery
  • Strong leadership, consulting, and cross-functional collaboration skills.

Preferred Qualifications

  • Master s Degree.
  • Azure Certifications:
  • Azure Solutions Architect Expert
  • Azure DevOps Engineer Expert
  • FinOps Certified Practitioner
  • Experience applying SRE (Site Reliability Engineering) principles within data platforms.
  • Strong background in performance tuning and large-scale analytics optimization.
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.

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