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Senior Solution Architect

Tiger Analytics Inc.
Chicago, USA
Full-time
Senior · 15+ years experience
Hybrid
Discovered 3 weeks ago
AzureSnowflakeDatabricks

Full Job Posting

Key Responsibilities

  • Design and define enterprise-scale Data & Analytics architectures leveraging Azure, Snowflake, and Databricks.
  • Assess diverse legacy data platforms, technologies, and application ecosystems and define scalable future-state architectures.
  • Develop end-to-end data ecosystem architectures covering data ingestion, integration, transformation, storage, analytics, and consumption.
  • Apply strong EDW architecture and data modeling principles to design scalable and maintainable data platforms.
  • Define data pipeline and transformation architectures using modern cloud data engineering technologies.
  • Establish and enforce data security, governance, privacy, and compliance standards across data platforms.
  • Ensure proposed solutions align with enterprise architecture frameworks, technology standards, and client-specific guidelines.
  • Partner with client stakeholders to understand business and technical requirements and translate them into effective architectural solutions.
  • Act as a trusted advisor and go-to architect for client stakeholders on data and analytics architecture decisions.
  • Lead technical and solutioning discussions with clients, partners, vendors, and internal technology teams.
  • Drive architecture reviews and ensure adherence to established frameworks, standards, design principles, and governance processes.
  • Identify opportunities to accelerate program execution through technology modernization, automation, reusable frameworks, and architectural best practices.
  • Provide technical leadership across globally distributed/onshore-offshore teams and guide engineering teams in implementing the target architecture.

Requirements

  • 15+ years of overall IT experience, with 10+ years in data architecture, solution architecture, or related roles.
  • Strong hands-on architecture experience with Azure, Snowflake, and Databricks.
  • Strong understanding of Enterprise Data Warehouse (EDW) architecture and modern cloud data architectures.
  • Strong knowledge of data modeling principles, including dimensional, relational, and enterprise data modeling.
  • Strong experience designing data pipelines, data integration, and transformation solutions.
  • Strong understanding of data security, governance, privacy, metadata, and compliance.
  • Experience assessing legacy data platforms and architectures and defining modernized future-state solutions.
  • Proven experience designing end-to-end enterprise data ecosystems.
  • Strong experience with solution architecture, technical consulting, and architectural advisory services.
  • Excellent stakeholder management and communication skills, with the ability to engage with senior client stakeholders.
  • Proven ability to lead architecture and solution discussions with clients, partners, vendors, and technology teams.
  • Experience working within established enterprise architecture frameworks, standards, and governance processes.

Benefits

  • Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
  • Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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