Principal Architect – Data

3 weeks ago

Dallas, United States Anblicks Full time

Job Title: Principal Architect – Data & AI

Location – Dallas, TX

Job Description:

  • Present Data & Analytics architecture vision and solution to client executives
  • Position yourself as a Trusted Advisor to client executives by executing client meeting with a focus on achieving their desired business outcomes
  • Drive Data, Analytics & AI capabilities and innovation around Data & Analytics Products, Descriptive & Diagnostic Analytics, API’s, Enterprise Data Integration & Insights Hub, Business Alerts & Intelligent workflows, Data Marketplace etc.
  • Drive strategic client engagements in building Data Platforms and Products demonstrating business value
  • Partner with the internal team(s) in driving repeatable Frameworks, Accelerators and Business point solutions
  • Demonstrate and communicate the value of Data & Platform throughout the engagement, from Demo to Proof of concept to Workshops & Design sessions
  • Maintain a deep subject matter expertise in Snowflake data cloud and other competing technologies.

OUR IDEAL PRINCIPAL SOLUTIONS ARCHITECT WILL HAVE :

  • University degree in computer science, engineering, mathematics or related fields, or equivalent experience
  • Minimum 15 years of collective experience as a seasoned Solutions Architect, Data Architect, Data & Analytics engineer, Data Scientist and ML engineer
  • Expert knowledge of complete data analytics stack and workflow – ETL, Data platform design, BI & Analytics, ML tools & platforms
  • Expert knowledge in enabling Decision Intelligence solutions, AI, Integrations and Data Monetization solutions
  • Hands-on Data, Analytics and AI engineering experience and ability to design, build and engineer solutions as and when needed
  • Minimum 5 years of practical experience implementing large scale Databricks, Azure and/or Snowflake Data Cloud & Platform with expert level deeper technical expertise.
  • Excellent domain knowledge in healthcare industry verticals
  • Software development experience with Python, Spark and other Scripting languages
  • Proficiency in implementing data security measures, access controls, and design within the Snowflake platform.
  • Deep collaboration experience with Account Executives and Sales Engineers on account strategy
  • Experience with common BI and data exploration tools (e.g., Power BI, Microstrategy, Looker, Tableau)
  • OLAP Data modeling and data architecture experience
  • Experience and understanding of large-scale cloud platforms (e.g., Amazon AWS, Microsoft Azure, GCP, etc.)
  • Big 5 Consulting experience.

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