Azure Data Platform Architect

Description:

Spyglass MTG (Microsoft Technology Group) is a Microsoft Gold Certified Partner. We hire people who are professional consultants in addition to being highly competent performers in their specific discipline. As a Consultant at Spyglass MTG you will be working on projects to develop Microsoft technology focused solutions for a variety of clients in industries such as Financial Services, Healthcare, Life Sciences, Manufacturing and Higher Education. Our office is in Lincoln, RI, however our clients are typically located in the Greater Boston and New England area. You will be working in a team environment that consists of Spyglass and Client members.

As an Azure Data Platform Architect, you will join our increasingly growing and exciting Azure Data and Analytics practice. You will be required to apply enterprise principles, standards and practices serving as the conduit for influencing our clients Enterprise Data Architecture’s direction while optimizing solutions for them. You will evaluate business needs and objectives, current and future state and transform into Azure data solutions that meet performance, scalability, reliability, and security needs. You must also provide technical guidance and oversight to a development team, mentor those in less senior positions and ensure a consistent state of excellence during and post-delivery of the solution. You will be integral to the design, development, and delivery of all modern data solutions on Azure for our clients.

Candidate Expectations:

• Architect, Design and deploy platform architecture to support data transformation, data structures, metadata, dependency, and workload management leveraging components like Azure functions, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics and more.
• Architect, design and deploy data platforms within the Cloud adoption framework for data landing zones.
• Perform requirements analysis, design, and prototyping for data solutions.
• Provide oversight and guidance to platform, data, BI and ML engineering teams. It is expected that you provide direct experience within at least 3 of these core areas.
• Development, review, and revision of best practices for technical implementation and development and communication to supporting delivery resources.
• Experience in requirements analysis, design, and prototyping.
• Familiarity with DevOps tools like Azure DevOps, Jenkins, Maven etc.
• Participate in pre-sales and statement of work development efforts.
• Communicate efficiently and with deep technical knowledge regarding concepts and best practices of the end-to-end data platform and architecture.

Basic Qualifications:

• Proven experience architecting and documenting a data platform architecture on Azure or AWS.
• Proven experience managing multiple engagements/projects as a platform architect.
• Proven knowledge on Cloud adoption framework concepts.
• 8+ years of relevant professional technology experience.
• 5+ years of experience in a data transformation language like SQL, Python or Scala.
• 5+ years of working experience with SQL Server, data warehousing and data analytics projects
• 3+ years developing, deploying, and testing data platforms in Azure or other cloud provider.
• 2+ years of experience with version control and DevOps or DataOps.
• 1+ years infrastructure as code development on Azure (ARM, Bicep, Blueprints).
• Proven experience with Azure solutions and infrastructure concepts such as private endpoints, hub and spoke networking, subscription management, etc.
• Proven experience architecting and deploying an Azure data solution with Azure Data Factory, Azure Synapse, Data Lake or other Azure data service.
• Knowledge of developing with Azure data platforms, integration techniques & self-service data preparation.
• Experience designing and developing data engineering flows on Azure Data Factory or Azure Synapse leveraging a data lake ELT approach.
• Minimum of a Bachelor’s degree in Computer Science, Computer Engineering, Software Design, Software Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience.

Preferred Qualifications:

• MS Certified: Data Engineering Associate.
• MS Certified: Azure Solutions Architect Expert.
• Prior technical consulting experience.
• Consulting experience supporting multiple client initiatives.
• Prior participation building estimates and defining scope for statements of work.
• Master’s degree in Computer Science, Computer Engineering, Software Design, Software Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience.

Benefits:

• Medical, Vision and Dental Plans
• Life and Disability Insurance
• Open PTO Policy
• Holiday PTO
• Paid training certification
• Bonus plan
• 401k
• Flexible working arrangements
• & more

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, transgender status, national origin, citizenship, age, disability or protected veteran status.

Job Types: Full-time, Contract

Pay: $150,000.00 - $175,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Vision insurance

Schedule:

• 8 hour shift

Supplemental pay types:

• Bonus pay

Application Question(s):

• Are you willing to undergo a background check?
• Do you live in the New England Region, or would be will to relocate to New England, so you could be onsite occasionally for company or client meetings in the Boston MA or Lincoln RI area?

Education:

• Bachelor's (Required)

Experience:

• Data Architecture: 5 years (Required)

Work Location: Remote

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