Senior Solution Architect

Tiger Analytics; Chicago (IL); On-site; USD 160,000 - 220,000; Full time

Job summary

Tiger Analytics in the United States seeks a Senior Solution Architect with 15+ years of IT experience and 10+ years in data architecture to lead enterprise data and analytics initiatives. You will design cloud-native EDW solutions using Azure, Snowflake, and Databricks, and translate business requirements into scalable architectures.

You will guide cross-functional teams, define data pipelines, security, governance standards, and ensure alignment with enterprise frameworks.

Qualifications

• 15+ years of overall IT experience
• 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 (dimensional, relational, enterprise)
• Experience designing data pipelines, data integration, and transformation solutions
• 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
• Experience in solution architecture, technical consulting, and architectural advisory services

Responsibilities

• Design and define enterprise-scale Data & Analytics architectures leveraging Azure, Snowflake, and Databricks.
• Assess diverse legacy data platforms and define scalable future-state architectures.
• Develop end-to-end data ecosystem architectures covering ingestion, integration, transformation, storage, analytics, and consumption.
• Apply EDW architecture and data modeling principles to design scalable platforms.
• Define data pipelines and transformation architectures using modern cloud data engineering technologies.
• Establish and enforce data security, governance, privacy, and compliance standards.
• Ensure solutions align with enterprise frameworks, standards, and client guidelines.
• Partner with stakeholders to translate business and technical requirements into architectural solutions.
• Lead architecture discussions with clients, partners, vendors, and internal teams.
• Drive architecture reviews and governance processes; promote reusable frameworks and modernization opportunities.
• Provide technical leadership across globally distributed teams.

Skills

Azure

Snowflake

Databricks

EDW architecture

Data modeling

Data pipelines

Data security

Governance

Stakeholder management

Leadership

Job description

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

Tiger Analytics is looking for a highly experienced Senior Solution Architect with 15+ years of overall experience, including 10+ years of hands‑on experience in data architecture and relevant cloud data technologies. The ideal candidate will have strong expertise in Azure, Snowflake, and Databricks, along with deep knowledge of enterprise data warehouse architecture, data modeling, data pipelines, transformation frameworks, data security, and governance.

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.

• 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.

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.