Senior Data Engineer – Fabric

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Dayforce

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🏢 Enterprise

💰 $1G Post-IPO Debt - Dayforce on 2024-03

HR Tech • SaaS • Enterprise

Dayforce is a cloud-based human capital management (HCM) platform that unifies payroll, HR, workforce management, time and attendance, benefits, and talent management into a single application. Delivered as a software-as-a-service solution, Dayforce is used by employers to manage the employee lifecycle, payroll processing, scheduling, and regulatory compliance across locations.

📋 Description

• Collaborates with cross-functional teams to understand data and analytical requirements and translates them into effective Microsoft Fabric–based data solutions. • Mentors and provides technical leadership to Data Engineers through code reviews, design reviews, knowledge-sharing sessions, and engineering best practices. • Establishes and maintains data engineering standards, reusable frameworks, development patterns, and operational best practices to improve consistency and scalability across the data platform. • Leads root cause analysis and resolution efforts for critical production issues impacting enterprise data pipelines, reporting solutions, and platform operations. • Reviews and provides guidance on solution designs, architecture decisions, and implementation approaches to ensure alignment with enterprise standards and best practices. • Designs, develops, and maintains end-to-end data ingestion and transformation processes using Microsoft Fabric OneLake, Lakehouses, Data Pipelines, Dataflows Gen2, and Notebooks. • Formats, cleanses, and stores data in a structured manner to ensure data quality and accessibility for reporting and analysis, following Medallion Architecture. • Works closely with reporting and analytics teams to ensure datasets are accurate, well-modeled, and optimized for Power BI and other analytical workloads. • Creates comprehensive documentation for data pipelines, processes, and solutions. • Participates in data governance activities to ensure data integrity, security, and compliance. • Utilizes source control to manage and track changes to data pipelines and codebase. • Provides level II/III support to troubleshoot and resolve data-related issues and inquiries. • Provides ancillary support for Machine Learning (ML) and Artificial Intelligence (AI) processes. • Evaluates emerging technologies, industry trends, and architectural patterns related to data engineering, analytics, artificial intelligence, and cloud platforms and provides recommendations for adoption. • Manages and optimizes Microsoft Fabric platform performance by monitoring capacity utilization, query performance, Lakehouse and Warehouse workloads, Delta table maintenance (OPTIMIZE/VACUUM), data partitioning, storage consumption, and pipeline execution to ensure scalable, reliable, and cost-effective data operations. • Develops and maintains monitoring, alerting, and observability solutions for Microsoft Fabric pipelines, notebooks, Lakehouses, Warehouses, semantic models, and related data platform components to ensure operational reliability and rapid issue resolution. • Performs other duties as assigned.

🎯 Requirements

• Bachelor's degree in computer science, information technology, or a related field (or equivalent experience). • A minimum of six (6) years of proven experience in data engineering, ETL development, and data warehousing. • Demonstrated experience leading complex data engineering projects from architecture and design through implementation and operational support. • Demonstrated ability to lead through influence, collaboration, and technical expertise, including mentoring Data Engineers and cross-functional technical teams, leading initiatives and workstreams, and driving successful cross-functional outcomes. • Experience establishing engineering standards, governance processes, development frameworks, and operational best practices. • Advanced troubleshooting and performance optimization experience across cloud data platforms, distributed processing frameworks, and enterprise data solutions. • Strong hands-on experience with Microsoft Fabric, including OneLake, Lakehouses, Data Pipelines, Dataflows Gen2, and/or Notebooks. • Solid understanding of Medallion Architecture, Delta Lake concepts, data modeling, and modern analytics patterns. • Experience with data governance, data quality, and data security frameworks and standards. • Solid grasp of Continuous Integration Continuous Delivery (“CI/CD”), including source control, deployment pipelines, and release management practices. • Experience with Git-based source control and collaborative development workflows. • Expertise in integrating Fabric solutions with Power BI, Azure services, and external data sources. • Experience monitoring and tuning cloud-based data platforms for performance, scalability, and cost optimization. • Experience with Apache Spark and PySpark within Microsoft Fabric. • Excellent verbal and written communication skills, presentation, problem-solving skills and attention to detail. • Self-starter with strong organizational and time management skills, self-directed and able to handle multiple priorities with demanding timeframes. • Ability to work independently and collaboratively with colleagues and staff to create a high-quality, results-driven, team-oriented, fast-paced environment. • Demonstrated ability to use discretion, make sound decisions, and maintain confidentiality. • Willingness and ability to work flexible hours. • Proficiency in MS Office (including Excel, Outlook, PowerPoint, Visio, & Word) and modern communication tools for virtual teams (e.g., MS Teams, Slack).

🏖️ Benefits

• Reasonable accommodations for individuals with documented disabilities. • Flexible hours.