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Sr. Solutions Architect

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a Sr. Solution Architect with extensive experience in data architecture, cloud services (Azure preferred), and AI-driven solutions. This role focuses on designing scalable, secure, and high-performance data and AI solutions, collaborating with cross-functional teams, and ensuring best practices in data governance and security.

Responsibilities:

  • Design and implement scalable cloud-native solutions on Azure, ensuring security and performance.
  • Architect end-to-end data solutions, integrating data sources, processing systems, and AI/ML platforms.
  • Build conceptual & logical architectures for data-driven programs.
  • Provide guidance on data pipelines, ETL/ELT workflows, and data integration.
  • Implement data governance frameworks, ensuring data quality and compliance.
  • Collaborate with stakeholders to understand requirements and deliver innovative solutions.
  • Mentor team members and provide technical guidance where needed.

Requirements

Job Skills

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Sr Data Architect - Patient Services (Life Sciences)

posted by: spj_bot

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.

We are seeking a Data Architect – Patient Services to join our Life Sciences practice. In this role, you will be responsible for ensuring the integrity and reliability of Patient Services (PS) data and be the primary bridge between external Patient Services Hub vendors and internal enterprise systems. This is a high-impact role combining technical data modeling with operational stewardship, requiring you to drive data quality, investigate complex lineage issues, and ensure that patient data is "analytics-ready" for strategic decision-making.

Responsibilities:

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