Data & Analytics Solutions Architect

We are hiring for a Data & Analytics Solutions Architect AWS & Databricks
This role focuses on designing enterprise data platforms, Lakehouse architectures, and AI-driven analytics solutions on AWS.
The ideal candidate has 14+ years of experience in data architecture, Databricks, data engineering, and cloud modernization.
What You Bring
14+ years of experience in Enterprise Data Architecture, AWS, Databricks, and Cloud Modernization
Strong expertise in AWS Data Services, Databricks Genie, Unity Catalog, Delta Lake, Python, PySpark, and SQL
Experience designing Lakehouse architectures and enterprise data platforms
Knowledge of Databricks SQL, Workflows, Lakeflow, MLflow, and performance optimization
Experience with ETL/ELT, batch and streaming pipelines, APIs, and DataOps
Knowledge of data governance, security, compliance, and responsible AI
Experience with HLD/LLD, migration planning, architecture reviews, and technical governance
Understanding of BFSI regulatory and compliance requirements
Bachelor's degree in Computer Science, Engineering, Information Systems, Data Management, or a related discipline
What You'll Do
Design end-to-end AWS and Databricks data and AI architectures
Build scalable Lakehouse, data ingestion, and analytics solutions
Develop AI-driven analytics using Databricks Genie and semantic models
Establish data governance, security, and observability standards
Lead cloud modernization, migration, and platform optimization
Drive architecture reviews, technical standards, and DataOps practices
Collaborate with engineering teams and stakeholders on solution delivery
Support technical presentations, effort estimation, and client workshops
Mentor engineers and develop reusable architecture frameworks
Nice to have
Certifications in AWS, Databricks, Data Engineering, Enterprise Architecture, Security, or AI/ML

Work arrangement
Yes