Lead Data Engineer

Logic20/20, Inc.

Lead Data Engineer building Microsoft Fabric pipelines, lakehouses, and warehouses for Logic20/20 consulting clients. Guiding enterprise data modernization, CI/CD, performance optimization, and engineering teams.

Posted 8/5/2026full-timeRemote • Washington • 🇺🇸 United StatesSenior💰 $173,077 - $179,863 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in cloud data engineering, particularly with Microsoft Fabric, including data pipeline design, ETL/ELT processes, and data governance. Proven ability to lead technical teams, mentor engineers, and implement CI/CD strategies for data solutions.

Highest-signal resume keywords

Microsoft Fabric LakehouseData Engineering Best PracticesCI/CD StrategyPython ProgrammingAzure Data Factory

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentETL/ELT ImplementationData ModelingPerformance TuningDimensional ModelingData WarehousingPySpark/Spark SQLSQL ProgrammingInfrastructure as CodeAutomated Testing

Soft Skills

Consulting SkillsCommunication SkillsClient-Facing LeadershipMentoring

Tools & Technologies

Microsoft FabricAzure DevOpsGitHub ActionsBicepARMTerraformPower BIAzure Synapse Pipelines

Certifications & Qualifications

Fabric Data EngineerAzure FundamentalsAzure Data Engineer Associate

Industry Keywords

Data GovernanceData Quality ValidationRBACDataOpsCloud-Based Data Platforms

Tech Stack

Tools & technologies

AzureCloudETLPySparkPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Lead end-to-end design and development of data pipelines, notebooks, lakehouses, and warehouses in Microsoft Fabric
Orchestrate and implement scalable ETL/ELT pipelines integrating structured and unstructured data from multiple sources
Define and enforce data engineering best practices for data modeling, partitioning, performance tuning, and data quality
Own the CI/CD strategy for Fabric artifacts, including Azure DevOps integration, deployment pipelines, environment promotion, and automated deployment tests
Translate business requirements into technical designs with architects and analysts
Mentor data engineers, conduct code reviews, and enforce coding and security standards
Monitor and optimize pipeline performance, cost, and capacity utilization
Track the Microsoft Fabric roadmap and evaluate new features for adoption
Help clients scale data solutions, make data-driven decisions, and drive enterprise-level innovation
Collaborate with analysts, architects, technical project managers, and business stakeholders to deliver data solutions

Requirements

What you’ll need

10–15 years of cloud data engineering experience, including hands-on Microsoft Fabric experience
2+ years of experience leading technical delivery teams
Deep expertise in Microsoft Fabric 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
Experience with 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
Preferred: undergraduate degree in technology or business
Preferred: Microsoft Certifications, including Fabric Data Engineer, Azure Fundamentals, or Azure Data Engineer Associate

Benefits

Comp & perks

Performance-based bonuses and other incentives for eligible employees
Training, project opportunities, and mentorship
Supportive, globally connected work environment
Advanced tools and technology
Collaborative company culture