About this opportunity
Tiger Analytics, LLC lists this Data Architect opportunity in boston, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
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
Lead enterprise-scale data, application, and platform migration initiatives across cloud and modern data ecosystems
Conduct discovery and assessment sessions with Business Units, SMEs, and IT stakeholders to understand current-state systems and migration requirements
Assess ETL/ELT pipelines, BI/reporting assets, databases, enterprise applications, and cloud platforms to define migration scope and strategy
Drive migration planning activities including dependency analysis, process-to-object mapping, complexity assessment, and wave-based execution planning
Define and recommend migration approaches such as Rehost (Lift-and-Shift), Replatform, Refactor/Modernization, and Retire/Replace
Collaborate with Enterprise Architects, Cloud Architects, Data Engineers, and Analytics teams to align migration roadmaps with target-state architecture
Ensure migration readiness by coordinating testing, validation, cutover planning, and implementation governance
Provide technical leadership and strategic guidance on cloud modernization, data modernization, and migration best practices
Track risks, dependencies, and project milestones while maintaining clear communication with business and technical stakeholders
Support solution planning, effort estimation, and implementation readiness activities for migration programs
Qualifications
10+ years of experience in data, application, or platform migration programs
Strong experience leading enterprise cloud transformation and modernization initiatives
Hands‑on experience with AWS cloud platform and cloud migration strategies
Strong 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
Strong 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
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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Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.