Senior Data Engineer

Talent; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Unknown is seeking a Senior Data Engineer to own modernization initiatives, including migrating workloads from Azure Synapse to Microsoft Fabric. You will design scalable data architectures, implement governance, and collaborate with leadership and stakeholders to shape a modern data strategy.

You will lead the migration, build Lakehouses and Pipelines in Fabric, mentor junior engineers, and drive technical decisions across the data platform while ensuring quality, performance, and security.

Qualifications

• 5–8 years of experience in data engineering.
• Hands-on Microsoft Fabric experience with Lakehouses, Warehouses, and Pipelines.
• Experience migrating workloads from Azure Synapse and Azure Data Factory to Fabric.
• Proficient in SQL and Python.
• Experience designing governance, cataloging, and data architecture frameworks.
• Microsoft Certified: Associate certification required.

Responsibilities

• Own architecture and implementation of Azure Synapse to Fabric migration.
• Design and manage Fabric environments (Lakehouses, Warehouses, Notebooks, Pipelines).
• Establish governance, cataloging, and architecture standards.
• Develop scalable data pipelines using SQL and Python.
• Collaborate with IT leadership and stakeholders to define requirements.
• Mentor junior data engineers on Fabric and migration methodologies.
• Troubleshoot pipelines and optimize performance.
• Lead data platform migrations from planning through delivery.

Skills

Microsoft Fabric

Azure Synapse

Azure Data Factory

SQL

Python

Data governance

Data migration

Job description

Location: Remote

Employment Type: Full-Time

About the Opportunity

We're partnering with an established organization undergoing a significant transformation of its enterprise data infrastructure. They're looking for an experienced Senior Data Engineer to take ownership of key data modernization initiatives, including a major migration from Azure Synapse to Microsoft Fabric.

This is an excellent opportunity for a hands-on data engineer who enjoys working at the architectural level, driving technical decisions, and helping shape an organization's long-term data strategy.

You'll play a key role in designing scalable data solutions, implementing governance frameworks, and mentoring junior engineers while working closely with technical leadership and business stakeholders.

Key Responsibilities

• Lead key components of the organization's Azure Synapse to Microsoft Fabric migration, owning architecture, design, and implementation decisions.
• Design, develop, and manage Microsoft Fabric environments, including Lakehouses, Warehouses, Notebooks, and Data Pipelines.
• Establish data governance, cataloging, and architecture standards to improve data quality, consistency, and accessibility.
• Develop and optimize scalable data pipelines using SQL, Python, and Azure data technologies.
• Support integrations across enterprise platforms, including ERP, HRIS, financial, and asset management systems.
• Collaborate with IT leadership and business stakeholders to define technical requirements and data architecture best practices.
• Troubleshoot existing data pipelines and identify opportunities to improve performance and scalability.
• Mentor junior data engineers and provide technical guidance on Microsoft Fabric and data migration methodologies.

What We're Looking For

• 5–8 years of experience in data engineering, ideally with experience owning complex data platform initiatives.
• Strong hands-on experience with Microsoft Fabric, including workspace architecture, Lakehouses, Warehouses, and Pipelines.
• Demonstrated experience migrating workloads from Azure Synapse and Azure Data Factory to Microsoft Fabric.
• Advanced proficiency in SQL and Python.
• Experience designing and implementing data governance, cataloging, and data architecture frameworks.
• Proven ability to lead data platform migrations from initial planning through implementation.
• An applicable Microsoft Certified: Associate certification is required.

Why Consider This Opportunity?

• Architectural Ownership: Take the lead on significant data platform modernization initiatives rather than simply executing predefined tasks.
• Modern Technology: Work extensively with Microsoft Fabric, Azure, Python, and enterprise data architecture.
• Technical Leadership: Influence architectural decisions and mentor other engineers.
• Business Impact: Help build the foundation of a modern enterprise data ecosystem.
• Established Organization: Join a long-standing business investing in the modernization of its technology infrastructure.