Solutions Architect

Role : Architect

Experience Required - 4+ years

• Develops enterprise data and analytics architecture, including best practices, guiding principles, and design patterns aligned with strategic business objectives
• Partners with business and solution architecture teams through implementation and operational support to ensure technology achieves desired business outcomes
• Evaluates current architectures to identify weaknesses, defining interim and target-state strategies to advance architectural maturity
• Integrates advanced analytics and AI/ML models into existing data workflows using frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Leads proof-of-concept initiatives and capability maturity assessments to build future-state architecture roadmaps
• Contributes to enterprise data and analytics vision and strategy, reducing solution complexity and time to market
• Owns architectural artifacts, high-level designs, POCs, and deployment support for data, analytics, and generative AI solutions
• Guides architecture direction across five pillars: data platforms, analytics delivery, data security, AI, and data management/governance
• Defines and maintains standard architectural principles and processes for enterprise-wide consistency
• Validates architectural designs, reviews findings, and proposes remediation for deficiencies

Experience:

• Minimum 4+ years in enterprise data and analytics architecture, designing scalable, reusable solutions
• Hands-on experience defining architectural principles, patterns, and high-level designs for data platforms, analytics delivery, and AI/ML solutions
• Experience integrating AI/ML models into data workflows using TensorFlow, PyTorch, or Scikit-learn across cloud environments
• Experience leading POC initiatives, capability maturity assessments, and future-state architecture roadmaps
• Experience advising on complex projects involving generative AI solutions in enterprise landscapes
• Experience in regulated industry (pharma, healthcare, life sciences) is a plus

Certifications:

• Azure Solutions Architect Expert or AWS Certified Solutions Architect
• TOGAF Certification
• Certified Data Management Professional (CDMP)
• Google Professional Cloud Architect Certification

Key Skills: Cloud Architecture (Azure/AWS/GCP), Databricks, Snowflake, ADF/Informatica, Python, SQL, Data Architecture, AI/ML (TensorFlow, PyTorch, Scikit-learn, MLflow), Data Governance, Streaming (Kafka, Event Hubs), BI Tools (Power BI, Tableau, Looker)

Non-Negotiable Skills: Cloud Architecture (Azure/AWS) & Databricks