below marketmost similar roles pay hereabove market
This role pays more than
53%
of similar roles. Most pay
$126,800–$211,650
— the blue band above.
At the midpoint, this role pays about
$168k
versus about
$169k
for comparable roles.
Based on 240 similar postings.
Employer
About SHI International
SHI International is a global IT solutions provider and Value-Added Reseller (VAR) that helps corporate, enterprise, and public sector customers manage, procure, and secure hardware, software, and cloud services.
SHI International currently has
55 open roles
on FindRole.
Listed pay typically runs
$120,000–$200,000
across 53 roles with salary data.
The Solutions Engineer - Data Engineering joins the Microsoft Data and AI practice to design, build, and deliver enterprise-scale data engineering solutions. This hands-on role involves executing technical designs and owning data engineering workstreams to implement secure, scalable, and compliant data platforms. Key responsibilities include developing ingestion, transformation, and integration pipelines, building data lakehouse and warehouse solutions, and maintaining ETL/ELT processes. The position requires proficiency with Microsoft Azure, Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, SQL Server, and ADLS Gen2. The engineer will solve complex data problems for state-level public sector and regulated industry projects, ensuring data quality, security, and governance. Candidates must apply modern engineering practices like CI/CD and source control to support analytics, reporting, and AI-driven use cases.
What does a Solutions Engineer earn?
Median $190000 from 49 postings across 16 companies.
Design, develop, and implement data ingestion, transformation, and integration pipelines using Azure Data Factory and Microsoft Fabric.
Build and optimize scalable data lakehouse and warehouse solutions in Azure and Microsoft Fabric.
Develop and maintain data models, ETL/ELT processes, and historical data versioning logic for multi-source datasets.
Configure and manage Azure Data Lake Storage Gen2 environments, including lifecycle management and archival strategies.
Implement data validation, cleansing, and quality controls to ensure trusted and auditable data platforms.
Apply security best practices including encryption, identity-based access control, and compliance with HIPAA and NIST standards.
Translate business requirements into actionable technical solutions and produce high-quality design artifacts and migration plans.
Execute code reviews, testing, and quality assurance using source control and CI/CD environment promotion strategies.
What we're looking for
Proven hands-on experience delivering modern data engineering solutions on Microsoft Azure and/or Microsoft Fabric.
Strong engineering foundation in data pipelines, Lakehouse or warehouse architectures, and relational data platforms.
Practical experience using Azure Data Factory, Azure Synapse, Databricks, SQL Server, Azure SQL, ADLS Gen2, and Microsoft Fabric.
Experience designing and operating production data platforms, including data modeling, incremental processing, and monitoring.
Solid understanding of data security, governance, and compliance concepts, including identity-based access and encryption.
Experience working in consulting or project-based delivery environments with engineers, project managers, and client stakeholders.
Familiarity with modern engineering practices such as source control, CI/CD, testing, and environment promotion.
Microsoft Certified Azure Data Engineer Associate, required or expected within six to twelve months (preferred); Microsoft Certified Fabric Analytics Engineer Associate or Azure Solutions Architect Expert (preferred).
Data Engineering
ETL
AWS
Azure
AI/ML
Data Pipelines
Data Governance
Data Normalization
Dashboards
Metrics
Exploratory Analysis
Feature Development
IoT
Machine Learning