JourneyTeam · 9 hours ago
Principal Data Engineer
United States
Full-time
Remote
Lead/Staff
$140K/yr - $200K/yr
8+ years expJourneyTeam is a company focused on delivering Microsoft business applications and technologies. They are seeking a Principal Data Engineer to drive innovation and technical excellence in building modern Microsoft data solutions while mentoring team members.
SoftwareInformation Technology
Responsibilities
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 Microsoft’s evolving Data & AI ecosystem and drive pragmatic adoption of emerging capabilities
Qualification
Required
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
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
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 DevOps
Company
JourneyTeam
JourneyTeam is a technology provider with over 30 years' experience specializing in Microsoft business applications and technology
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
B
Brian Tenney
Chief Executive Officer
Recent News
2025-10-23
2025-10-23
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