Senior Data Engineer (Azure)

Draper, UT

Our Data Engineering practice is growing! JourneyTEAM is looking for a hungry, humble, and smart Senior Data Engineer to help us build a world-class team and best-in-class products. If you are ready for growth, love designing and building Microsoft data solutions and have a passion for helping people and businesses, we would love to hear from you!

About JourneyTEAM

JourneyTEAM helps companies implement business solutions and improvements through Microsoft technologies. JourneyTEAM is an award-winning Microsoft Partner specializing in all three Microsoft Clouds: Modern Workplace, Microsoft Azure, and Microsoft Business Applications, including Microsoft Dynamics 365, Power Platform and Data+A/I.

The Opportunity

The Senior Data Engineer plays a pivotal role in driving technical excellence and business value for our clients. Critical aspects of this role entail the ability to work independently architecting and implementing modern data engineering solutions within the Microsoft ecosystem. Also key to this role is the ability to mentor others and lead solution design and build as well as delivering on client expectations and project scope. 

Key Responsibilities

  • Help set vision, strategy and roadmap for JourneyTEAM data engineering. Incorporate both Microsoft and industry best practices. 
  • Lead and mentor data engineers, provide technical guidance, share best practices, and foster a culture of continuous learning and growth.
  • Develop “best-in-class” data engineering solutions that provide data quality, reliability, automation, notification, scalability, modularity, security. 
  • Architect and implement enterprise data strategies that align with client objectives including analytics, migrations and data integrations.
  • Go-to resource for understanding client problems and responding with appropriate methods anchored around best practice, repeatable patterns, and “crush-it” mentality. 
  • Lead out on design sessions with client teams, conduct workshops and training both internally and externally, including webinars. 
  • Design, develop, and optimize complex dimensional models for reporting (star schemas).
  • Collaborate with cross-functional teams, including business intelligence developers, Azure cloud administrators, business analysts, and others, to develop comprehensive data solutions.
  • Excel at documenting solution architecture, dimensional models, and how-to instructions.
  • Excellent leadership, communication, and project management skills.
  • Valid driver’s license in the US

 

Required Qualifications

  • Proven track record with at least 7+ years’ of hands-on experience in data engineering. 
  • 3+ years’ experience in technical leadership roles.
  • 3+ years’ experience working with Azure technologies, such as Data Factory, ADLS, Azure Databricks, Spark, Synapse Analytics, Azure SQL Database, Fabric.
  • Demonstrated advanced proficiency in SQL and intermediate Python skills.
  • Experience with connecting to and ingesting from API sources, including using OAuth 2. Additionally, experience with standardizing and/or flattening and/or normalizing JSON to a flavor of SQL structure.
  • In-depth understanding and practical application of Lakehouse architecture principles, combining the best of data lakes and data warehouses for robust and scalable data management.
  • Advanced SQL skills. Solid understanding of relational databases, transform logic and dimensional modeling techniques. Ability to write complex SQL.
  • Successful management of data engineering projects, including planning, execution, and delivery.
  • Demonstrated ability to take ownership and responsibility of critical issues and provide resolution. Strong problem-solving and decision-making abilities as well as excellent collaboration skills.
  • Ability to create great rapport with client teams and exercise a knack for driving the adoption of data strategies that move the needle in improving business outcomes. 

Nice To Have

  • Bachelor’s or master’s degree in computer science, informatics, data science or related technical discipline.
  • Experience dealing with high-volume and high-velocity data streams and designing systems that can handle the demands of real-time or near-real-time analytics.
  • Azure Databricks experience.
  • Relevant industry certifications, especially Microsoft.


Compensation

  • $130K+ (depending on experience)
  • Performance-based bonus structure

Benefits

JourneyTEAM offers a wide range of excellent benefits including healthcare and dental options, as well as a 401k with an approximate 4% employer match with funds that vest immediately. We enjoy flexible time off and our employees average 3.5 to 4 weeks off a year. We also provide a monthly phone stipend of $25 as well as a gym membership monthly reimbursement of up to $200. We enjoy a culture of collaboration and creative responsibility to solve problems with autonomy.

JourneyTEAM is an Equal Opportunity Employer.  This position is not open to C2C, H1B's or third-party agencies.