Description

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)

Key Skills

Education

Any Graduate