Architect Jobs at Tiger Analytics with Visa Sponsorship
Architect jobs at Tiger Analytics involve leading data platform design, cloud infrastructure, and AI solution delivery for enterprise clients. The company has an active sponsorship track record across multiple visa types, making it a realistic target for international candidates pursuing long-term U.S. careers in analytics and technology consulting.
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Get Access To All JobsINTRODUCTION
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.
ROLE AND RESPONSIBILITIES
Tiger Analytics is looking for a highly experienced Senior Data & Analytics Solution Architect to lead enterprise-scale modernization and digital transformation initiatives. The ideal candidate will have deep expertise in AWS and Databricks, extensive experience designing enterprise data platforms, and the ability to engage with CXO-level stakeholders to define future-state architectures. This role requires strong consulting, advisory, and technical leadership skills to drive large-scale Data & AI transformation programs.
- Lead enterprise Data & Analytics architecture engagements, designing scalable, secure, and future-ready solutions using AWS and Databricks aligned with business objectives.
- Assess existing legacy data ecosystems and define target-state architecture, modernization roadmaps, migration strategies, and technology blueprints for enterprise transformation programs.
- Act as a trusted advisor to senior client stakeholders (CXO, VP, Director level), conducting architecture workshops, technical discovery sessions, and strategic consulting engagements.
- Drive end-to-end solution architecture across cloud data platforms, including data lakes, lakehouses, enterprise data warehouses, streaming platforms, metadata management, governance, and analytics ecosystems.
- Define enterprise architecture standards, reusable design patterns, best practices, and governance frameworks while ensuring alignment with organizational technology strategies.
- Lead technical solutioning discussions involving clients, implementation partners, and cross-functional delivery teams to ensure architecture consistency and successful program execution.
- Design scalable data ingestion, transformation, storage, and analytics architectures supporting structured, semi-structured, and unstructured data.
- Collaborate closely with business, product, engineering, and data science teams to translate business requirements into scalable technical solutions.
- Recommend platform accelerators, reusable frameworks, automation opportunities, and optimization strategies to improve delivery efficiency and reduce implementation timelines.
- Provide architectural oversight throughout project execution, reviewing technical designs, resolving complex technical challenges, and mentoring global engineering teams.
- Lead architecture governance by conducting solution reviews, ensuring compliance with enterprise security, scalability, performance, and data governance standards.
- Drive cloud modernization initiatives involving migration from legacy data platforms to AWS-based cloud-native architectures.
- Evaluate emerging technologies and recommend innovative solutions across Data Engineering, AI/ML, GenAI, and cloud ecosystems.
- Support proposal development, solution estimations, RFP responses, technical presentations, and executive-level client discussions.
BASIC QUALIFICATIONS
- 18+ years of IT experience with at least 10 years in Enterprise Data & Analytics Architecture.
- Strong expertise in AWS Cloud services including S3, Glue, EMR, Lambda, Redshift, Athena, IAM, Lake Formation, Step Functions, CloudWatch, EventBridge, ECS/EKS, and related services.
- Extensive hands-on experience with Databricks, Delta Lake, Unity Catalog, Spark, PySpark, and Lakehouse architecture.
- Strong understanding of enterprise Data Warehouse, Data Lake, and Lakehouse architectures.
- Expertise in modern data engineering principles, ETL/ELT frameworks, metadata management, data governance, and master data management.
- Strong knowledge of SQL, distributed data processing, cloud-native architecture patterns, and scalable data platform design.
- Experience designing enterprise integration architectures using APIs, streaming technologies, messaging systems, and event-driven architectures.
- Deep understanding of cloud migration strategies, modernization approaches, and hybrid architecture patterns.
- Strong stakeholder management with proven experience interacting directly with executive leadership.
- Excellent consulting, advisory, presentation, and communication skills.
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.
INTRODUCTION
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.
ROLE AND RESPONSIBILITIES
Tiger Analytics is looking for a highly experienced Senior Data & Analytics Solution Architect to lead enterprise-scale modernization and digital transformation initiatives. The ideal candidate will have deep expertise in AWS and Databricks, extensive experience designing enterprise data platforms, and the ability to engage with CXO-level stakeholders to define future-state architectures. This role requires strong consulting, advisory, and technical leadership skills to drive large-scale Data & AI transformation programs.
- Lead enterprise Data & Analytics architecture engagements, designing scalable, secure, and future-ready solutions using AWS and Databricks aligned with business objectives.
- Assess existing legacy data ecosystems and define target-state architecture, modernization roadmaps, migration strategies, and technology blueprints for enterprise transformation programs.
- Act as a trusted advisor to senior client stakeholders (CXO, VP, Director level), conducting architecture workshops, technical discovery sessions, and strategic consulting engagements.
- Drive end-to-end solution architecture across cloud data platforms, including data lakes, lakehouses, enterprise data warehouses, streaming platforms, metadata management, governance, and analytics ecosystems.
- Define enterprise architecture standards, reusable design patterns, best practices, and governance frameworks while ensuring alignment with organizational technology strategies.
- Lead technical solutioning discussions involving clients, implementation partners, and cross-functional delivery teams to ensure architecture consistency and successful program execution.
- Design scalable data ingestion, transformation, storage, and analytics architectures supporting structured, semi-structured, and unstructured data.
- Collaborate closely with business, product, engineering, and data science teams to translate business requirements into scalable technical solutions.
- Recommend platform accelerators, reusable frameworks, automation opportunities, and optimization strategies to improve delivery efficiency and reduce implementation timelines.
- Provide architectural oversight throughout project execution, reviewing technical designs, resolving complex technical challenges, and mentoring global engineering teams.
- Lead architecture governance by conducting solution reviews, ensuring compliance with enterprise security, scalability, performance, and data governance standards.
- Drive cloud modernization initiatives involving migration from legacy data platforms to AWS-based cloud-native architectures.
- Evaluate emerging technologies and recommend innovative solutions across Data Engineering, AI/ML, GenAI, and cloud ecosystems.
- Support proposal development, solution estimations, RFP responses, technical presentations, and executive-level client discussions.
BASIC QUALIFICATIONS
- 18+ years of IT experience with at least 10 years in Enterprise Data & Analytics Architecture.
- Strong expertise in AWS Cloud services including S3, Glue, EMR, Lambda, Redshift, Athena, IAM, Lake Formation, Step Functions, CloudWatch, EventBridge, ECS/EKS, and related services.
- Extensive hands-on experience with Databricks, Delta Lake, Unity Catalog, Spark, PySpark, and Lakehouse architecture.
- Strong understanding of enterprise Data Warehouse, Data Lake, and Lakehouse architectures.
- Expertise in modern data engineering principles, ETL/ELT frameworks, metadata management, data governance, and master data management.
- Strong knowledge of SQL, distributed data processing, cloud-native architecture patterns, and scalable data platform design.
- Experience designing enterprise integration architectures using APIs, streaming technologies, messaging systems, and event-driven architectures.
- Deep understanding of cloud migration strategies, modernization approaches, and hybrid architecture patterns.
- Strong stakeholder management with proven experience interacting directly with executive leadership.
- Excellent consulting, advisory, presentation, and communication skills.
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.
See all Architect Jobs at Tiger Analytics
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Get Access To All JobsTips for Finding Architect Jobs at Tiger Analytics
Align your portfolio with Tiger's delivery model
Tiger Analytics works on end-to-end data and AI engagements for enterprise clients. Architects who can show experience owning solution design from scoping through deployment, not just contributing to one phase, will stand out in their hiring process.
Confirm your visa type fits the role
Tiger Analytics sponsors H-1B, TN, and both EB-2 and EB-3 Green Cards. If you're on F-1 OPT, verify your OPT expiration against the H-1B cap-subject filing window so your authorized work period overlaps with approval.
Research open Architect roles before outreach
Tiger Analytics posts Architect openings across practice areas including data engineering, cloud, and analytics platforms. Use Migrate Mate to filter and browse current Architect roles at Tiger Analytics that are open to visa sponsorship candidates.
Prepare your credential documentation early
Architect roles at Tiger typically require a qualifying degree in computer science, engineering, or a related field. If your degree is from outside the U.S., get a credential evaluation completed before interviews so it's ready when USCIS requests it.
Understand how the H-1B filing timeline affects your start date
H-1B cap-subject petitions can only take effect October 1. If you receive an offer after the April lottery window closes, plan for a gap. Confirm with your Tiger Analytics recruiter whether they will file in the next registration cycle.
Ask about Green Card sponsorship during offer negotiations
Tiger Analytics sponsors both EB-2 and EB-3 pathways. PERM labor certification typically begins after one to two years of employment. Clarifying the company's standard timeline during the offer stage helps you plan your long-term immigration strategy accurately.
Frequently Asked Questions
Does Tiger Analytics sponsor H-1B visas for Architects?
Yes, Tiger Analytics sponsors H-1B visas for Architect roles. The company participates in the annual H-1B cap lottery, so timing matters if you're not already in H-1B status. Cap-exempt candidates, such as those transferring from a qualifying institution, may have more scheduling flexibility. Confirm the specific filing approach with your recruiter once you receive an offer.
How do I apply for Architect jobs at Tiger Analytics?
You can browse and apply for Architect roles at Tiger Analytics directly through Migrate Mate, which filters for positions open to visa sponsorship candidates. When applying, tailor your resume to reflect end-to-end architecture ownership and enterprise client experience, which aligns with how Tiger Analytics structures its delivery engagements. Follow up directly with the recruiting team to confirm sponsorship eligibility for your specific visa category.
Which visa types does Tiger Analytics commonly use for Architect roles?
Tiger Analytics sponsors H-1B, F-1 OPT, F-1 CPT, TN visa, and Green Card pathways including EB-2 and EB-3 for Architect positions. TN visas apply only to Canadian and Mexican nationals in qualifying occupations. F-1 OPT and CPT are typically entry points for recent graduates transitioning into full-time roles before an H-1B petition is filed.
What qualifications does Tiger Analytics expect from Architect candidates?
Architect roles at Tiger Analytics typically require a bachelor's or master's degree in computer science, engineering, or a quantitative field, along with hands-on experience designing data pipelines, cloud platforms, or AI infrastructure at scale. Familiarity with tools commonly used in analytics consulting, such as cloud-native architectures on AWS, Azure, or GCP, strengthens your application. Senior Architect roles often expect demonstrated leadership on multi-workstream enterprise engagements.
How do I time my job search if I need H-1B sponsorship for an Architect role?
The H-1B cap registration window opens in March each year, with approved petitions taking effect October 1. If you're on F-1 OPT, verify that your authorized period covers the gap between filing and the October start date. Starting your Architect job search at Tiger Analytics in the fourth quarter of the prior year gives you enough lead time to complete interviews and receive an offer before the registration window opens.