Job description

Notes from client call: Priority: High-impact initiative for internal stakeholders, primarily the Finance team Project Overview • The Finance team is launching a new data integration initiative to source data from 10 12 different systems to support better decision-making. • Current capabilities are limited, prompting a deeper investment in technology and architecture. • A proof of concept was completed to assess feasibility and align with their needs • They are now running a second POC focused on stakeholder engagement and validation. Technical Requirements • Goal: Ingest multiple data sources into the Finance Data Link platform • Tech Stack & Skills Needed: • Hands-on experience with Microsoft Fabric • Synapse Analytics • Strong understanding of Azure architecture in a multi-tenant environment • Ability to write and manage code within that environment • Experience with: • Logic Apps • CI/CD pipelines • Spark • Python • SQL • Terraform Ideal Candidate Profile • 8 10 years of experience in data engineering or solution architecture • Proven track record implementing solutions using Microsoft Fabric and Synapse • Comfortable working in complex, multi-tenant cloud environments • Able to support both technical execution and stakeholder communication Full Job Description: Title: Senior Data Engineer Location: Irving (Dallas), TX 5 days onsite About the Role: Our client is a top investment firm that invests in businesses across a range of industry sectors. They create long term value by continuously delivering advisory, transformation and operational support services enabling their portfolio companies to focus on doing and scaling what they do best. Responsibilities - The Senior Data Engineer will be a Senior software engineer in the Data Engineering and Analytics team. This role will focus on designing and implementing scalable data solutions using Microsoft Fabric, Azure Synapse Analytics and other Azure services in a multi-tenant environment. This is a senior individual contributor role with a focus on hands on development, collaborative problem solving, and mentorship of junior engineers. • Architect and develop end-to-end pipelines using Microsoft Fabric and Azure Synapse Analytics • Build and orchestrate workflows using Azure Logic Apps to automate data movement, transformation, and integration • Implement multi-tenant strategies for data isolation, governance, and scalability across Azure resources • Ensure data security, compliance, and performance across all layers of the architecture • Contribute to CI/CD pipelines and Infrastructure-as-Code practices using tools like Terraform and Azure DevOps • Work in an agile environment • Assist with Production Support activities Must-have Requirements - • 8-10 years of Data Engineering experience • Proven expertise in Microsoft Fabric, including Lakehouse, Warehouse, and One Lake components • Strong hands-on experience with Azure Synapse Analytics • Proficiency in Azure Logic Apps, Data Factory, and Event-driven architectures • Deep understanding of multi-tenant Azure environments, including resource isolation, RBAC, and governance • Strong programming skills in Spark, Python, and SQL • Experience with Terraform, ARM templates, or other IaC tools for Azure provisioning • Familiarity with data security, compliance frameworks, and monitoring tools such as Azure Monitor and Log Analytics • Experience in developing application integration using SOAP/REST APIs Preferred Requirements - • Microsoft Certified Fabric Data Engineer Associate • Knowledge of Azure Synapse Link and Data verse

Requirements