Tiger Analytics
Tiger Analytics
Tiger Analytics is an AI and analytics consulting firm that helps organizations turn complex data into practical business decisions. Its work spans data strategy, machine learning, AI engineering, and business intelligence, with a focus on embedding analytics into day-to-day operations and broader digital transformation programs. The firm works across industries including healthcare, logistics, marketing, consumer goods, and finance, drawing on cloud technologies and partnerships with providers such as Microsoft, Google Cloud, and AWS to develop and scale data-driven solutions.

Senior Data and Analytics Solution Architect - Hybrid Illinois

Lead enterprise data and analytics architecture across Azure, Snowflake, and Databricks. Advise enterprise AI consulting clients and guide distributed engineering teams.

Description

  • Design enterprise-scale data and analytics architectures using Azure, Snowflake, and Databricks
  • Evaluate legacy data platforms, technologies, and application ecosystems to define scalable target architectures
  • Create end-to-end data ecosystem architectures spanning ingestion, integration, transformation, storage, analytics, and consumption
  • Apply enterprise data warehouse architecture and data modeling practices to build scalable, maintainable data platforms
  • Define data pipeline and transformation architectures with modern cloud data engineering technologies
  • Establish and enforce data security, governance, privacy, and compliance standards across data platforms
  • Align solutions with enterprise architecture frameworks, technology standards, and client-specific guidelines
  • Collaborate with client stakeholders to understand business and technical needs and translate them into architectural solutions
  • Serve as a trusted advisor on client data and analytics architecture decisions
  • Lead technical and solution discussions with clients, partners, vendors, and internal technology teams
  • Direct architecture reviews and verify compliance with frameworks, standards, design principles, and governance processes
  • Identify opportunities for technology modernization, automation, reusable frameworks, and architectural best practices
  • Provide technical leadership to globally distributed and onshore-offshore teams while guiding implementation of target architectures

Requirements

  • Bring at least 15 years of IT experience, including 10 or more years in data architecture, solution architecture, or related roles
  • Demonstrate strong hands-on architecture experience with Azure, Snowflake, and Databricks
  • Understand enterprise data warehouse architecture and modern cloud data architectures
  • Apply dimensional, relational, and enterprise data modeling principles
  • Design data pipelines, integration solutions, and transformation processes
  • Understand data security, governance, privacy, metadata, and compliance
  • Assess legacy data platforms and architectures and define modernized target solutions
  • Design end-to-end enterprise data ecosystems
  • Bring substantial experience in solution architecture, technical consulting, and architectural advisory services
  • Communicate effectively with senior client stakeholders and manage stakeholder relationships
  • Lead architecture and solution discussions with clients, partners, vendors, and technology teams
  • Work effectively within enterprise architecture frameworks, standards, and governance processes

Benefits

  • Access meaningful opportunities for career development
  • Join a small, fast-growing, challenging, and entrepreneurial environment
  • Take on a high degree of individual responsibility
  • Work in an environment protected by equal employment opportunity laws at the federal, state, and local levels

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