Senior Fabric Engineer

Job not on LinkedIn

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $120.8k - $148.3k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 2%

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ai2io

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

ai2io is a technology consulting and solutions firm that helps businesses choose, design, build, integrate, and automate tools to fit into existing workflows. They position themselves as a trusted partner guiding clients through technology decisions and accelerating digital transformation to improve operational efficiency and business outcomes.

📋 Description

• Architect and implement a Medallion (Bronze, Silver, Gold) lakehouse architecture in Microsoft Fabric • Design Delta Lake tables, partitioning strategies, and performance optimizations • Design and build ingestion pipelines from Deltek Vantagepoint, Power BI semantic models, project performance data, and financial/HRIS systems • Implement error handling, monitoring, validation, reconciliation, and data-quality controls • Design and build dimensional (Dim/Fact) models in the Silver/Gold layers • Define and implement CI/CD, version control, environment promotion, and release standards using the BI operating model and Azure DevOps backlog • Monitor and tune Fabric capacity usage, pipeline performance, and storage costs • Maintain technical documentation covering pipeline logic, table schemas, and source-to-Gold-layer lineage • Translate validated business requirements, KPI definitions, and source-data findings into platform design decisions • Work with the Director of Business Intelligence and KPI Governance Council to enforce agreed-upon metric definitions • Build the platform foundation for enterprise revenue and IT forecasting and future AI-assisted reporting and data Q&A • Complete assigned tasks and deliverables on time and on budget • Perform other related duties as assigned

🎯 Requirements

• Strong hands-on experience with Microsoft Fabric, Azure Data Lake, and Delta Lake, including Medallion (Bronze/Silver/Gold) architecture patterns • Demonstrated experience designing and implementing dimensional (Dim/Fact) data models for enterprise reporting • Strong SQL skills and experience working with SQL Server, including reading and reverse-engineering complex, layered legacy views • Experience building and maintaining data ingestion pipelines from ERP, financial, or project-based systems • Experience with Deltek Vantagepoint or similar professional services ERP systems is a plus • Working knowledge of Power BI semantic models and DAX sufficient to collaborate effectively with BI/analytics stakeholders • Experience establishing deployment, version control, and release standards for data platforms, ideally using Azure DevOps • Ability to work independently from ambiguous or incomplete requirements, and to raise data quality or governance concerns proactively • Strong written and verbal communication skills, with the ability to document technical decisions clearly for a non-engineering audience • Demonstrated aptitude for learning new technology and adapting to evolving requirements • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related discipline • 5+ years of experience in data engineering or data platform roles • Hands-on experience with Microsoft Fabric, Azure Data Lake, or comparable modern lakehouse platforms • Experience working on an enterprise data warehouse or BI modernization initiative • Up to 5% travel, potentially to any or all 50 US states • Must be eligible to work in the United States as applicable under the E-Verify program

🏖️ Benefits

• Choice of comprehensive medical plans (including two PPO-style plans and a HDHP w/ HSA option) • Flex spending accounts (FSA) • Dental and vision plans • Comprehensive medical, dental and vision benefits extended to spouse / domestic partner and dependent children up to age 26 • 401k with company match and self-directed brokerage account option • PTO including additional paid time off during the last week of the year • Company paid life insurance coverage for employees and their eligible dependents • Short and long-term disability, AD&D coverage • Professional development opportunities • Tuition reimbursement and professional licensing assistance • Paid parental leave after one year of employment