Senior Solutions Architect

• 14+ years of IT experience, with 5+ years in solution architecture or data architecture roles.
• Proven expertise in designing and implementing cloud solutions (Azure preferred).
• Strong experience with data architecture, data governance, and data security.
• Proficiency in code & infra optimization techniques and able to support the engineering team to adopt best practices.
• Proficiency in data modelling, ETL/ELT processes, and big data technologies.
• Experience with AI/ML solutions and integrating them into business processes.
• Excellent communication and problem-solving skills.

• Desired: Certifications: Azure Solution Architect Expert, Azure AI Engineer, or similar. Strong understanding of AI ethics, explainability, and fairness.

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.

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.

• 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.