Lead Data Engineer

Company DescriptionWe're a ten-time "Best Company to Work For," where intelligent, talented people come together to do outstanding work-and have a lot of fun while they're at it. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You'll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working at Logic20/20 means working on the leading edge, with a community of the right people around you.About the teamThe Logic20/20 AI & Analytics team is where skilled professionals in data engineering, data science, and visual analytics join forces to build simple solutions for complex data problems. We make it look like magic, but for us, it's all in a day's work. As part of our team, you'll collaborate on projects that help clients spin their data into a high-performance asset, all while enjoying the company of kindred spirits who are as committed to your success as you are. And when you're ready to level up in your career, you'll have access to the training, the project opportunities, and the mentorship to get you where you want to go. "We build an environment where we really operate as one team, building up each other's careers and capabilities." – Adam Cornille, Managing Director, AI & Analytics Job DescriptionAs a Lead Data Engineer joining Logic20/20’s AI & Analytics practice, you’ll help clients scale their data solutions and make data-driven decisions while driving enterprise-level innovation.   You’ll work closely with the client to understand their business processes and analytics needs to design and build data pipelines and cloud data solutions. You will have the opportunity to guide your client through best practices in data lake, data processing, and data pipeline design to help them achieve their business goals. You will work closely with your team, including analysts, architects, and technical project managers, to design solutions and work together to deliver a world-class solution.   You’ll strike a balance of technical skills and business acumen to help clients better understand their core needs and what is possible for a future state. What you’ll do:Lead end-to-end design and development of data pipelines, notebooks, lakehouses, and warehouses in Microsoft FabricOrchestrate and implement scalable ETL/ELT pipelines integrating structured and unstructured data from multiple sourcesDefine and enforce data engineering best practices: data modeling, partitioning, performance tuning, data qualityOwn the CI/CD strategy for Fabric artifacts: Azure DevOps integration, deployment pipelines, environment promotion (dev/test/prod), automated test scripts validating deploymentsTranslate business requirements into technical designs, working closely with architects and analystsMentor a team of data engineers, conduct code reviews, enforce coding/security standardsMonitor and optimize pipeline performance, cost, and capacity utilizationTrack the Fabric roadmap and evaluate new features for adoptionQualificationsRequired:10-15 years of cloud data engineering experience, including hands-on experience with Microsoft Fabric.2+ years of experience leading technical delivery teams.Deep expertise in Microsoft Fabric components including Lakehouse, Warehouse, Data Factory, Notebooks (PySpark/Spark SQL), and Power BI integration.Advanced proficiency in Python, SQL, Spark/PySpark, data warehousing, dimensional modeling, and modern enterprise data platform architectures.Experience designing, building, and migrating cloud-based data platforms using Azure Data Factory, Synapse Pipelines, and related Azure technologies.Hands-on experience with CI/CD, DataOps, Git-based development, deployment automation, and Infrastructure as Code (Azure DevOps, GitHub Actions, Bicep, ARM, or Terraform).Strong understanding of data governance, security, RBAC, automated testing, and data quality validation frameworks.Excellent consulting, communication, and client-facing leadership skills with the ability to drive technical decisions, mentor engineers, and partner effectively with architects, project managers, and business stakeholders.Preferred:An undergraduate degree in technology or business. Microsoft Certifications (Fabric Data Engineer, Azure Fundamentals, Azure Data Engineer Associate, etc.). Additional InformationAt Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $173,077 - $179,863 for this role. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives.All your information will be kept confidential according to EEO guidelines.Learn more about life at Logic20/20!Visit our Life at Logic page to explore our culture, benefits, and what makes Logic20/20 a great place to grow your career!Core Values At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees—and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at . Equal Opportunity Statement We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. To learn more about our DE&I initiatives, please visit: Privacy Policy During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please view our company privacy policy. SummaryType: Full-timeFunction: ConsultingExperience level: Not ApplicableIndustry: Utilities