Principal Data Engineer

JourneyTeams Data & AI practice is growing and were looking for a hungry humble and smart Principal Data Engineer to join our world-class team. This is a great opportunity for someone with 8 years of experience whos ready to take the next stepbuilding modern Microsoft data solutions and working directly with clients. If youre passionate about solving real business problems with data and want to be part of a collaborative values-driven team wed love to hear from you.

About JourneyTeam:

At JourneyTeam people are at the center of everything we do. Our purpose as a company is to help others effectively use technology to create a positive lasting impact on the world. With 30 years of technology experience we are 100% focused on delivering Microsoft business applications and technologies that empower organizations to reach new heights of business success. We deeply understand the transformative value of Microsoft solutions and are dedicated to helping our customers unlock their full potential. Our experienced team specializes in driving success across Dynamics 365 Microsoft 365 AI and Copilot Azure modern data solutionsall leveraging Microsofts comprehensive security platform.

Responsibilities:

As a Principal Data Engineer you will be a thought leader and trusted advisor to our clients driving innovation technical excellence and measurable business outcomes. You will own the design engineering and oversight of complex data solutions within the Microsoft ecosystem while mentoring team members and shaping JourneyTEAMs Data & AI practice.

• Architect and engineer data platforms using Microsoft Azure and Fabric including lakehouse medallion dimensional warehouse and real-time architectures.
• Own end-to-end data platform design across ingestion transformation storage semantic modeling and governance.
• Establish and enforce engineering standards for data pipelines modeling practices testing frameworks CI/CD infrastructure-as-code and deployment processes.
• Design scalable secure high-performance data systems optimized for reliability cost efficiency observability lineage and lifecycle management.
• Lead architectural decision-making across client engagements ensuring technical consistency long-term maintainability and alignment with enterprise best practices.
• Build review and optimize complex production-grade pipelines and transformations using Azure Data Factory Databricks Synapse Fabric SQL and Python.
• Optimize distributed processing workloads (e.g. Spark) and high-volume SQL environments for performance and scalability.
• Serve as the senior technical escalation point for complex engineering challenges and distributed system troubleshooting.
• Translate business requirements into durable scalable technical architectures grounded in strong engineering principles.
• Lead technical design sessions architecture reviews and solution workshops with both technical and executive stakeholders.
• Stay current with Microsofts evolving Data & AI ecosystem and drive pragmatic adoption of emerging capabilities.

Qualifications:

• 8 years of progressive experience in data engineering including at least 5 years designing and implementing enterprise-scale data platforms on Microsoft Azure.
• Proven experience architecting and engineering modern data platforms (lakehouse medallion dimensional warehouse batch and real-time processing).
• Deep hands-on expertise with Azure data services including Data Factory ADLS Synapse Analytics Databricks Azure SQL Database Event Hubs Stream Analytics Logic Apps and Microsoft Fabric.
• Demonstrated ability to design build and optimize systems that support high-volume high-velocity and distributed workloads.
• Advanced proficiency in SQL and Python with experience designing reviewing and optimizing complex production-grade codebases.
• Strong command of dimensional modeling (star/snowflake schemas) semantic modeling and enterprise data architecture patterns.
• Experience implementing CI/CD pipelines DevOps practices and infrastructure-as-code for modern data platforms.
• Expertise in performance tuning cost optimization scalability planning and reliability engineering within cloud data environments.
• Experience leading technical design across multi-engineer teams and serving as the senior technical authority on complex engagements.
• Ability to translate business requirements into scalable durable technical architectures grounded in sound engineering principles.
• Strong communication skills with the ability to explain complex technical concepts to both engineering teams and executive stakeholders.
• Experience working in consulting or professional services environments delivering enterprise data transformation initiatives.
• Familiarity with AI/ML workload integration and enterprise Power BI deployments.
• Embody JourneyTeams values:
  • A Caring Mindset
  • Exceptional Performance
  • Being OneTeam
  • Making & Keeping Commitments
  • Taking Ownership
  • Effective Communication
  • A Growth Mindset

Certification Requirements:

Applicants for this role must have the following certifications or a plan to attain them within the first year of employment:

• DP-900: Microsoft Azure Data Fundamentals
• Certification: DP-700 Microsoft Fabric Data Engineer Associate
• Certification: DP-600 Microsoft Fabric Analytics Engineer Associate

Preferred Skills and Certifications (not required):

• Experience with real-time or near-real-time analytics pipelines using tools like Azure Stream Analytics Event Hubs or Kafka.
• Hands-on experience with Azure Databricks including building and orchestrating Spark-based data pipelines and notebooks for large-scale data processing.
• Experience with Microsoft Purview
• Experience with project delivery methodologies (Agile/Scrum Kanban Waterfall hybrid)
• Knowledge of change management practices to support Data & AI adoption
• Experience delivering projects involving Power BI AI/ML adoption or advanced analytics.
• Experience with Dynamics 365 (Project Service Automation or Project Operations)
• Experience with Azure DevOp

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