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Senior Data Architect

2 months ago

Pittsburgh, United States Tredence Inc. Full time

Required Skills/Qualifications:

  • 10-12 years of relevant experience
  • Bachelor's and/or master’s degree in computer science or equivalent experience
  • Strong communication, analytical and problem-solving skills with a high attention to detail

Desired Experience & Responsibilities:

  • Manage end to end delivery by working cross-functionally with business, stakeholders, and internal technical & functional teams
  • Project management skills: timeline/risk management, scheduling, and resource management experience with medium and large-scale projects
  • Excellent communication skills with senior stakeholders, technical & business teams
  • Provide information to client and leadership by collecting, analyzing, and summarizing use cases
  • Responsible for creating project roadmaps, solution design, proposals, evaluations, points of view, case studies, RFPs, RFIs
  • Follow the Agile development methodology; think strategically and execute methodically
  • Minimum of 5 years of experience with implementation of data solutions on cloud platforms: Azure a
  • Architecture
  • Should have implemented at least 3 solutions on Databricks (preferred)
  • Should have implemented at least 3 BI/Reporting solutions using PowerBI (preferred), Tableau, Looker
  • Minimum of 5 years of experience with implementation of large distributed systems, Data Warehousing, Data Lakes
  • In depth knowledge of data modeling, especially dimensional modeling
  • Working knowledge of data automation & orchestration tools.
  • Strong Databricks experience, SME in Databricks
  • Working knowledge of the various Dev Ops processes including – security, CI/CD, automation, etc.
  • Ability to set and lead the technical vision while balancing business drivers
  • Document and advise developers and end-users about best practices and housekeeping
  • Create documentation in the form of BRDs, TDDs, User Manuals, Support manuals etc
  • Ability to harvest and maintain new relationships within the client organization in the data engineering space
  • Ability to present and defend technical architecture discussions with enterprise architects and senior leadership