Tiger Analytics

Delivers Data and AI transformation

Senior Solution Architect

Data EngineeringConfirmed live in the last 24 hours

Full-timeChicago, IL, USANo salary listedHybrid

About the Job

Requirements

At least 15 years of overall information technology experience, including at least 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 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.
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.

Responsibilities

Design and define enterprise-scale data and 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 enterprise data warehouse 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 architectural solutions.
Advise 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 and onshore-offshore teams and guide engineering teams in implementing the target architecture.

Senior Solution Architect

Tiger Analytics Inc. · Chicago, United States (Hybrid) · Full-time · Posted 2026-10-05

Workplace: hybrid

Department: Data Engineering

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.

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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About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: San Jose, CA
Founded: 2010

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