Azure Fabric Engineer / Architect

Azure Fabric Engineer / Architect Contract | Hybrid - McKinney, TX | $90/hr

Department: Data & Cloud Engineering Location: Hybrid - McKinney, TX Role Type: Contract Pay Rate: $90/hr

About Our Client

Our client is a well-established, technology-forward enterprise with a track record of investing in modern data infrastructure at scale. They operate across multiple business units and geographies, serving a diverse mix of enterprise and institutional customers. With a strong commitment to data-driven decision-making, they are mid-flight on a strategic initiative to consolidate and modernize their data platform using Microsoft Fabric and Azure-native services. Their culture values engineering excellence, operational rigor, and collaborative problem-solving - making this an opportunity to do meaningful, high-visibility work on a platform that directly shapes how the business consumes data.

Job Description

We are seeking an experienced Azure Fabric Engineer / Architect to design, build, and operationalize a modern, enterprise-grade data platform. This is a hands-on role that bridges solution architecture and day-to-day engineering - you will be expected to own the bigger picture while also rolling up your sleeves to build pipelines, solve deployment challenges, and drive the platform toward production readiness.

Day-to-day, you will work across ETL/ELT pipeline development, data migration from legacy and on-premises systems, CI/CD enablement for Fabric artifacts, and governance and monitoring implementation. You will collaborate closely with data engineers, business analysts, and technical stakeholders to translate requirements into scalable, secure, and reliable data solutions - and you will help establish the operational standards that keep those solutions running in production.

This role exists because the organization is accelerating its Microsoft Fabric adoption and needs a seasoned practitioner who can architect with confidence, build with precision, and enable the broader team through documentation, knowledge transfer, and technical leadership. If you thrive at the intersection of architecture and engineering and enjoy making platforms production-ready, this role is for you.

Duties & Responsibilities

Data Platform Architecture & Design

• Design scalable, secure, and high-performing data platforms using Microsoft Fabric, Azure Data Services, Lakehouse, Warehouse, and OneLake.
• Define data architectures that support ingestion, transformation, storage, analytics, and operational reporting.
• Consolidate structured, semi-structured, and unstructured data from multiple source systems into a unified platform.
• Partner with business stakeholders, analysts, and engineering teams to translate requirements into practical technical solutions.

ETL/ELT Engineering & Data Migration

• Design, develop, and maintain ETL/ELT pipelines for ingesting, transforming, and loading data into Microsoft Fabric and Azure environments.
• Lead or support data migration initiatives from legacy, on-premises, and third-party platforms into modern Azure/Fabric architectures.
• Perform source-to-target mapping, transformation logic development, reconciliation, and migration validation.
• Build repeatable ingestion patterns for databases, flat files, APIs, SaaS platforms, and cloud storage sources.
• Optimize pipelines for performance, reliability, scalability, and cost efficiency.

DevOps / DataOps / Deployment Enablement

• Design and implement CI/CD pipelines for Fabric artifacts and supporting data workloads across dev, test, and production environments.
• Standardize deployment practices including environment parameterization, secret management, service principal-based deployments, and release controls.
• Support automation using Azure DevOps, Git-based workflows, YAML pipelines, and Fabric/API-based deployment methods.
• Establish deployment, rollback, and recovery procedures for production data solutions.
• Build orchestration and execution frameworks that support scheduling, dependency handling, retries, restartability, and backfills.

Governance, Security & Operational Readiness

• Help define and implement governance controls including metadata, lineage, access control, auditability, and data quality validation.
• Support compliance and security best practices aligned to organizational and regulatory requirements.
• Implement monitoring and alerting for pipeline failures, data quality issues, and data freshness SLAs.
• Define and document operational procedures for incident response, reruns, escalation, and daily monitoring.
• Contribute to RTO/RPO planning, operational resilience, and production support readiness.

Documentation, Collaboration & Leadership

• Produce and maintain architecture diagrams, technical documentation, runbooks, SOPs, and deployment guides.
• Conduct knowledge transfer and support operational enablement for engineering and support teams.
• Provide technical leadership and contribute best practices for Microsoft Fabric adoption and pipeline engineering.
• Mentor junior engineers and participate in design reviews, code reviews, and technical planning sessions.

Required Experience / Skills

• 4+ years of experience in data engineering, data platform engineering, or cloud data solutions.
• Hands-on experience with Microsoft Fabric and core Azure data services.
• Strong experience building and supporting ETL/ELT pipelines and data migration solutions.
• Experience with Azure DevOps, Git workflows, CI/CD pipelines, and release management practices.
• Strong SQL skills and working knowledge of Spark, PySpark, or related data engineering tools.
• Experience with Lakehouse, Warehouse, Delta/Parquet-style processing, and cloud data storage concepts.
• Understanding of monitoring, orchestration, restartability, and production support requirements for data platforms.
• Experience with service principals, RBAC, secret management, and secure deployment practices.
• Strong documentation, troubleshooting, and cross-functional collaboration skills.

Nice-to-Haves

• Experience with Azure Synapse, Azure Data Factory, ADLS Gen2, and OneLake.
• Familiarity with Power BI semantic models, Direct Lake, and downstream analytics integration.
• Experience with data governance, lineage, metadata, and compliance-oriented data controls.
• Knowledge of Fabric REST APIs, automation frameworks, and enterprise scheduling tools.
• Experience defining operational standards, runbooks, and support models for enterprise data platforms.
• Microsoft Azure or Microsoft Fabric certifications.

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field - or equivalent practical experience.

Pay & Benefits Summary

• Contract pay rate: $90/hr
• Hybrid work arrangement - McKinney, TX
• Exposure to a high-visibility, enterprise-scale Microsoft Fabric modernization initiative
• Collaborative, technically strong team environment

Ready to Apply?

If you're an engineer who can architect the big picture and build the details that make it real, we want to hear from you. Submit your application today and a member of our team will be in touch.

Apply Now ?

Microsoft Fabric | Azure DevOps | ETL/ELT | Data Engineering | Lakehouse | PySpark | CI/CD | DataOps | OneLake | Data Migration | McKinney TX | Hybrid