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Azure Fabric Engineer​/Architect

Job in McKinney, Collin County, Texas, 75069, USA
Listing for: Catapult Federal Services
Full Time position
Listed on 2026-05-04
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Azure Fabric Engineer / Architect

About Our Client

Our client is a well-established, technology-forward enterprise with a track record of investing in modern data infrastructure y 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.

Responsibilities Data Platform Architecture & Design
  • Design scalable, secure, and high-performing data platforms using Microsoft Fabric, Azure Data Services, Lakehouse, Warehouse, and One Lake.
  • 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.
Dev Ops / Data Ops / 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 Dev Ops, 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…
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