Tiger Analytics Inc.

AI and analytics

DataArchitect

Boston, Massachusetts, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Architect at Tiger Analytics Inc.. Skills: Data migration, Cloud transformation, Enterprise architecture. Lead migration initiatives. Conduct discovery sessions”

What You'll Achieve.

Transform enterprise platforms; Modernize technology landscape; Enable scalable architectures

Industry & Context.

AI and analytics
Problems you'll solve

Optimize legacy systems

What They're Looking For.

Must Have

10+ years of experience in data, application, or platform migration programs, experience leading enterprise cloud transformation and modernization initiatives, Hands-on experience with AWS cloud platform and cloud migration strategies, understanding of ETL/ELT tools, BI/reporting platforms, relational databases, and cloud data platforms, Experience with migration assessment, dependency analysis, and migration roadmap planning, Knowledge of data modernization and lakehouse architectures, Background in enterprise architecture or solution design, stakeholder management, communication, and cross-functional collaboration skills, Experience coordinating large-scale migration activities across business and technology teams, Self-driven individual with the ability to work independently in fast-paced transformation environments, Experience with Agile delivery methodologies and enterprise-scale implementation programs

What You'll Do.

Lead migration initiatives

Conduct discovery sessions

Drive migration planning

Define migration approaches

Collaborate with architects

Ensure migration readiness

Provide technical leadership

Track risks and milestones

Support solution planning

How You'll Work.

Team & Collaboration

Collaborate with Enterprise Architects, Cloud Architects, Data Engineers, and Analytics teams; Coordinate with business and technology teams; Work with stakeholders

Communication Scope

Clear communication with stakeholders

Process & Methodology

Migration planning, Wave-based execution planning, Effort estimation, Implementation readiness

Full Job Description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals. **Responsibilities:** 1. Lead enterprise-scale data, application, and platform migration initiatives across cloud and modern data ecosystems 2. Conduct discovery and assessment sessions with Business Units, SMEs, and IT stakeholders to understand current-state systems and migration requirements 3. Assess ETL/ELT pipelines, BI/reporting assets, databases, enterprise applications, and cloud platforms to define migration scope and strategy 4. Drive migration planning activities including dependency analysis, process-to-object mapping, complexity assessment, and wave-based execution planning 5. Define and recommend migration approaches such as Rehost (Lift-and-Shift), Replatform, Refactor/Modernization, and Retire/Replace 6. Collaborate with Enterprise Architects, Cloud Architects, Data Engineers, and Analytics teams to align migration roadmaps with target-state architecture 7. Ensure migration readiness by coordinating testing, validation, cutover planning, and implementation governance 8. Provide technical leadership and strategic guidance on cloud modernization, data modernization, and migration best practices 9. Track risks

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