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The Lead Data Engineering Architect drives the design, build, and management of the enterprise data warehousing infrastructure, API integration layers, and foundational pipelines. This role is strictly dedicated to core data engineering and backend enablement, operating completely distinct from front-end BI or Data Analytics reporting architecture. The architect defines how data is extracted from critical operational systems, transformed into optimized structures, and safely staged to supply downstream analysis layers. This role also serves as the central coordination anchor for critical data enablement decisions spanning Integration APIs, warehousing infrastructure, and analytical ecosystems.
C1 is the foremost, single-source provider of advanced communications and data technology for business. That means if it's digital, we connect our customers to it -- from phone systems and hardware to computer networks, application development, managed solutions and more. And we're 100% passionate with designing, implementing, managing and supporting our customers' every need from end to end, so that they can focus on what they do best.
So, when it comes to joining a team of IT and communications technology pros who are empowered to do what they do best, your best choice -- your #1 choice -- is C1.
The Lead Data Engineering Architect drives the design, build, and management of the enterprise data warehousing infrastructure, API integration layers, and foundational pipelines. This role is strictly dedicated to core data engineering and backend enablement, operating completely distinct from front-end BI or Data Analytics reporting architecture. The architect defines how data is extracted from critical operational systems, transformed into optimized structures, and safely staged to supply downstream analysis layers. This role also serves as the central coordination anchor for critical data enablement decisions spanning Integration APIs, warehousing infrastructure, and analytical ecosystems.
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Designs and builds robust enterprise data models (Lakehouse and Data Warehouse frameworks) utilizing Microsoft Fabric and SQL Server ecosystems.
Develops ingestion and consumption pipeline architectures to harvest data efficiently from foundational source systems (including CRM, ERP, managed services, professional services, and HR platforms).
Architects and delivers robust API integration layers to facilitate real-time and batch-driven data exchanges across internal and external software systems.
Coordinates critical data enablement decisions across integration APIs, warehousing structures, and downstream analytics platforms to ensure absolute systemic alignment.
Serves as the primary structural architect for the Microsoft Fabric platform, deploying Microsoft foundational tools to enforce consistent organizational standards.
Establishes backend master data schemas, enterprise data integration rules, pipeline automation frameworks, and technical governance guidelines.
Determines pipeline and storage structural requirements by evaluating cross-departmental operations, SaaS APIs, and underlying source database systems.
Calculates optimum data processing parameters and implements incremental loading routines, schema-drift protection controls, and performance optimization mechanics.
Participates in database code walk-throughs, query tuning sessions, and data orchestration workflow evaluations to ensure highly scalable, low-latency execution.
Collaborates closely with the Data Engineering Team and Data Engineering Manager to guide development sprints and convert structural system blueprints into actionable sprint tasks.
Partners with the BI Architect and Data Analytics Team to seamlessly support delivery and structural optimization needs feeding into the downstream BI layer.
Accomplishes information systems and organization mission by completing related architectural and enablement goals as needed.
Additional Specific Duties and Responsibilities
Facilitates technical collaboration across development teams, business applications specialists, and backend operational units to streamline data accessibility.
Identifies, monitors, and communicates technical risk factors, integration bottlenecks, pipeline vulnerabilities, and architecture deployment status to IT management.
Reports operational achievements and systemic roadmaps directly up to the Director of Data Systems and Enablement.
Global IT solutions provider delivering communications, infrastructure, security, and managed services to business and public-sector customers.
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Senior · 6+ years experience
Remote
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