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Principal Architect – Data
2 months ago
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.