- Digital Velocity's vision is to be the best national provider of Professional Service Solutions. We'll achieve this reputation by continuing to delight our customers and being the employer of choice for Professional Services. Principal Data Engineers at CDW/DV are smart, hard-working Engineers who enjoy collaborating with Customers on highly visible, and technically challenging projects. We're looking for high-caliber, well-rounded professionals who are passionate about emerging technology, projects and consulting.
Key Areas of Responsibility
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Collaborating with Customers, Cloud Solution Architects in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.
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Review, comment, and provide feedback to pre-sales on data SoWs pending approval for client proposal
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Billable consultant directly and indirectly (supporting coworkers) providing complex data architecture, cloud native pattern design and cloud engineering solutions to DV clients
Supporting the strategy, planning, and implementation of data design services, providing sizing and configuration assistance, and performing needs assessments.
Developing and maintaining data lake and data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics.
Must be a Multi-cloud architect with experience in Cloud data architecture, data strategy, Data platform modernization and advanced analytics with AI & ML.
Excitement to work with customers to understand their overall data landscape, IT and business priorities and success measures to design implementation architectures and solutions.
Assessing the Customers' knowledge of data landscapes and overall cloud data readiness to support customers through a structured learning plan and ensure its delivery.
Should be able to assist practice heads to get road maps to adhering industry changes and adopting best practices.
Able to lead and set architectural road maps, client discoveries, groom/mentor other resources to fulfill practice future requirements.
Solid knowledge on cloud data platforms such as Azure,AWS and Google.
Can be able to lead platform agnostic projects and delivery.
Education and/or Skill-Set Qualifications
Advanced degree in Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
7+ years of professional consulting experience in business or technology consulting or similar roles.
Knowledge and skill level in identified competencies meet minimum requirements for role
Previous direct customer consulting experience or equivalent understanding of role responsibilities
Required Qualifications
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Strong communication skills with the ability to conveying complex ideas to both technical and non-technical stakeholders .
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Technical expertise, business acumen, communication skills, and a passion for problem-solving.
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Ability to bridge the gap between technical expertise and business objectives.
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Big Data Analytics. Preferably with the major Cloud Data Providers, and Snowflake
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Familiarity with Data Governance, Data Catalog, Master Data Management.
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Experience with reporting and analyics governance and security
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Ability to guide or lead junior resources to get desired project results.
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Communication is essential, must be able to listen and understand the question and develop and deliver clear insights.
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Independent and able to manage and prioritize workload.
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Ability to adapt quickly and positively to change.
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Ability to manage ambiguity and solve undefined problems.
Preferred Qualifications
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Masters degree in Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
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Familiarity with DevOps, CI/CD, Agile and/or Scrum methods of delivery