Data Solutions Tech Lead

Mortenson

Data Solutions Tech Lead delivering enterprise data solutions utilizing Microsoft Fabric technologies at Mortenson. Leading engineering efforts and mentoring teams to drive business value through data optimization.

Posted 7/23/2026full-timeMinneapolis • 🇺🇸 United StatesSenior💰 $114,500 - $171,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in engineering scalable data solutions using Microsoft Fabric, including Medallion Architecture and Data Mesh principles. Proven ability to lead technical initiatives, mentor engineers, and drive automation and operational efficiency in data engineering practices.

Highest-signal resume keywords

Microsoft FabricData EngineeringTechnical LeadershipAzure Data FactoryFivetran

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline EngineeringData Product DevelopmentData IngestionData TransformationData OrchestrationELT/ETL FrameworksSQL ServerOracleAPIsMonitoring and Observability

Soft Skills

MentoringCollaborationProblem-SolvingCommunicationContinuous Learning

Tools & Technologies

Microsoft Fabric Data FactoryAzure Data ServicesFivetranOracle SQL Developer

Industry Keywords

Medallion ArchitectureData MeshEngineering StandardsOperational ReliabilityPerformance Optimization

Tech Stack

Tools & technologies

AzureETLOracleSQL

About the role

Key responsibilities & impact

Lead the engineering, development, and delivery of enterprise data solutions utilizing Microsoft Fabric.
Engineer scalable and reusable data pipelines, data products, semantic models, and platform capabilities that support business objectives.
Design and implement solutions aligned with Medallion Architecture and Data Mesh principles to ensure scalability, maintainability, and domain ownership.
Establish and promote engineering standards, development practices, and implementation patterns across the Data Solutions organization.
Serve as the lead technical advisor for capabilities, evaluating technologies and providing recommendations to the Data Solutions Manager regarding platform strategy and technical direction.
Engineer proof-of-concepts and prototype solutions to evaluate emerging technologies, capabilities, and business opportunities.
Partner with business and technology stakeholders to translate requirements into engineered solutions that deliver measurable business value.
Drive technical execution across initiatives by resolving complex engineering challenges and ensuring successful solution delivery.
Champion engineering excellence through automation, performance optimization, code quality, testing, and operational reliability.
Ensure solutions are secure, scalable, supportable, and aligned with enterprise standards and operational requirements.
Engineer, develop, and optimize data ingestion, transformation, and orchestration pipelines using Microsoft Fabric Data Factory, Azure Data Factory, Fivetran, APIs, and related technologies.
Build and maintain reusable ELT/ETL frameworks, engineering accelerators, and integration patterns.
Develop and optimize data solutions supporting enterprise reporting, analytics, AI, and operational workloads.
Engineer integrations across SQL Server, Oracle, SaaS applications, APIs, and other enterprise platforms.
Troubleshoot and resolve complex data, platform, performance, and integration issues.
Implement monitoring, observability, and data quality controls to ensure platform reliability and trustworthiness.
Continuously improve performance, scalability, maintainability, and cost efficiency of data solutions.
Contribute directly to sprint commitments through engineering, development, testing, deployment, and support activities.
Lead technical implementation efforts for strategic Data Solutions initiatives.
Participate in backlog refinement, solution estimation, technical reviews, and release planning activities.
Review and contribute code to ensure adherence to engineering standards and best practices.
Support production environments through root cause analysis, incident resolution, and continuous improvement initiatives.
Drive automation and operational efficiency across development, deployment, monitoring, and support processes.
Mentor engineers through technical coaching, code reviews, pair programming, and collaborative solution development.
Lead by example through direct engineering contribution and delivery ownership.
Promote engineering best practices, reusable patterns, and modern development methodologies.
Assist in onboarding and developing engineers through knowledge sharing and technical guidance.
Foster a culture of accountability, continuous learning, innovation, and engineering excellence.

Requirements

What you’ll need

Bachelor’s degree or equivalent experience
8+ years in data engineering or architecture
3+ years in a technical leadership role with proven hands-on delivery experience
Microsoft Fabric (Medallion Architecture, Data Mesh)
Fabric Data Factory & Azure Data Factory
Fivetran
Azure Data Services
MSSQL, Oracle & Oracle SQL Developer

Benefits

Comp & perks

Medical and prescription drug plans that includes no additional cost vision coverage
Dental plan
401k retirement plan with a generous Mortenson match
Paid time off, holidays, and other paid leaves
Employer paid Life, AD&D, and disability insurance
No-Cost mental health tool and concierge with extensive work-life resources
Tuition reimbursement
Adoption Assistance
Gym Membership Discount Program