Microsoft Data Architect

DFW Metroplex, TX

Full Time

About this role

At evolv Consulting, we are seeking to hire an experienced Microsoft Data Architect to join our team. If you’re a passionate self-starter, evolv is a great place to get ahead.
Responsibilities for this role include:
  • Maintain a working knowledge of division results & key divisional business drivers, as well as an understanding of key strategies & priorities of their division, to be able to apply business knowledge to analytic approach to address business questions.
  • Apply critical thinking to pressure test and validate logic and outputs against known sources and understanding of business.
  • Provide actionable insights to support business decisions, primarily by performing root cause, exploratory, sensitivity and scenario analysis, economic modeling and data visualization to identify patterns/trends/insights etc. on predefined problems.
  • Generate and incorporate insights into a cohesive story that clearly addresses business questions.
  • Effectively communicate tailored messages regarding analytic ideas, approach, key takeaways and actionable insights.
  • Ability to communicate technical information to non-technical audiences.
  • Support KPI and benchmark development.
  • Interact with BI Tools to answer questions, build basic visulizations and reports.
  • Ability to test and maintain BI products developed and follow BI governance process and procedures.

Requirements

  • 8+ years of experience in data architecture or in a similarly focused role.
  • Good understanding of strategic and emerging technology trends, and the practical application of existing and new technologies to evolving business and operating models.
  • Excellent verbal and written communication skills.
  • Skilled in interacting with databases and file storage systems (Examples: Oracle, Hadoop, NoSQL), as well as Power BI, Power App, Power Automate), Matillion, Data Modeling, DAX, Dashboards, Microsoft SQL Server (SSAS, SSIS, SSRS), Tableau, AWS (Athena, Redshift), Azure (Synapse, SSAS, ADF), Looker and Google Cloud
  • Knowledge of professional concepts and the ability to use this knowledge toward development of theories and methods.
  • High degree of client focus and strong communication skills.
  • Strong troubleshooting, problem solving and conceptualization skills.
  • Must be highly curious, driven, and disciplined.
  • Understanding of data models, data warehouses, and data mining.
  • Experience with participating in all aspects of BI: data warehouse/analytical projects including conceptualization, design, development, testing, selection, deployment, and post-implementation support.
  • Ability to use tools to access and transform data.
  • Some knowledge of statistical concepts and analytic techniques, including descriptive statistics, economic modeling, exploratory analysis, and variance analysis required.
  • Ability to use Microsoft Excel, including use of pivot tables, formulas, macros, vba, charts/graphs.
  • Strong analytical, critical and systems thinking required.

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