Tiger Analytics Logo

Tiger Analytics

Data Architect

Reposted 21 Days Ago
Be an Early Applicant
In-Office
Boston, MA, USA
Expert/Leader
In-Office
Boston, MA, USA
Expert/Leader
Lead enterprise-scale cloud and data modernization initiatives, assessing and planning migrations across data, applications, and cloud platforms for clients, ensuring alignment with business goals.
The summary above was generated by AI

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, dependencies, and project milestones while maintaining clear communication with business and technical stakeholders
  10. Support solution planning, effort estimation, and implementation readiness activities for migration programs

Requirements
  • 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

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.

Similar Jobs

4 Days Ago
Hybrid
Boston, MA, USA
140K-200K Annually
Senior level
140K-200K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Design and lead an enterprise-scale, multi-modal healthcare data architecture integrating EHR, genomics (NGS), and imaging. Build agent-ready data fabrics for federated hospital networks, define ERDs/data dictionaries/APIs across relational, NoSQL and vector stores, ensure data quality/lineage, and drive governance in HIPAA environments.
Top Skills: 3NfAWSBigQueryCernerData Vault 2.0DicomEpicErwinFhirGCPGraph DatabasesHl7LucidchartMaster Data Management (Mdm)MppNgs (Genomics)NoSQLOmopPgvectorPineconePythonRdbmsSQLStar SchemaVector DatabasesVertabeloVertex AiWeaviate
6 Days Ago
Hybrid
Boston, MA, USA
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.
Top Skills: Emr Back-End DatabasesFhir R4Gen AiHl7 V2Integration EnginesInteroperability StandardsMiddlewarePythonSQL
15 Days Ago
Remote or Hybrid
United States
160K-260K Annually
Expert/Leader
160K-260K Annually
Expert/Leader
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead design and governance of enterprise-scale data architecture (warehouses, lakehouses, streaming). Define standards for data quality, lineage, observability, and AI-enabled workflows. Mentor engineers, serve as technical escalation, and translate business needs into long-term data architecture and governance strategies.
Top Skills: Data CatalogData PipelinesData WarehouseDbtFeature StoreGcp BigqueryLakehouseObservability/AlertingStreaming PlatformsVector Stores

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account