Databricks Principal Consultant - Data - DV

• 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 Azure Data Engineers at CDW/DV are smart, hard-working Engineers who enjoy collaborating with other Engineers 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

* Collaborating with Cloud Solution Architects in implementing complex end-to-end Enterprise solutions on Microsoft Azure platform. * Review, comment, and provide feedback to pre-sales on Azure data SoWs pending approval for client proposal * Billable consultant directly and indirectly (supporting coworkers) providing complex Azure 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 estate, IT and business priorities and success measures to design implementation architectures and solutions. * Assessing the Customers' knowledge of Azure Data Platform 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

• Bachelor's 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

• Data Ingestion and Storage, Preferably in Azure Data Factory, Azure Databricks, Azure SQL, SQL Server Azure Data Lake, Cosmos DB

• Architect data ingestion solutions such as ETL, ELT's on a wide set of data storage solutions.

• Solid scripting experience with Python, R and T-SQL.

• Experience on data integrations with API's.

• Exposure to Azure Functions.

• Big Data Analytics. Preferably in Azure Synapse Analytics, Azure Analysis Services, and Snowflake

• Familiarity with Data Governance, Data Catalog, Master Data Management.

• Expertise in SQL, DAX languages & Power Query

• Experience with Power BI governance and security

• Power BI administration of workspaces, tenant settings, data sources, etc.

• Configuration of data refreshes, scheduling, and installation of on-premise Power BI Gateway

• Ability to guide or lead junior resources to get desired project results.

• Communication is essential, must be able to listen and understand the question and develop and deliver clear insights.

• Independent and able to manage and prioritize workload.

• Ability to adapt quickly and positively to change.

• Ability to manage ambiguity and solve undefined problems

Preferred Qualifications

• Masters degree in Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.

• Familiarity with DevOps, CI/CD, Agile and/or Scrum methods of delivery

• MS Certifications: Azure Data Engineer Associate, Azure Fundamentals