Data & Analytics Solutions Architect AI platforms, AWS, Databricks

Data & Analytics Solutions Architect - AI platforms AWS Databricks

The Opportunity

We are hiring a senior Data & Analytics Solutions Architect to lead the design of enterprise data analytics and AI platforms using AWS and Databricks. This role combines hands-on architecture cloud modernization data engineering governance technical leadership and solution consulting. You will define architecture direction guide implementation teams and help organizations move from legacy environments to secure scalable production-ready platforms.

What You Will Do

• Engage business and technology stakeholders to understand data analytics AI cloud and modernization requirements.
  

• Define end-to-end architecture for AWS and Databricks-based data analytics and AI platforms.
  

• Design secure scalable and high-performance Lakehouse solutions using AWS services Databricks Delta Lake and Unity Catalog.
  

• Architect data ingestion integration batch streaming data engineering semantic analytics and AI solutions.
  

• Design AI-enabled analytics experiences using Databricks Genie semantic models natural-language analytics and governed data access.
  

• Lead architecture definition HLD/LLD preparation non-functional assessments migration planning technical governance and production readiness.
  

• Establish standards for security governance metadata lineage observability responsible AI and DataOps delivery.
  

• Lead data-platform modernization and cloud migration initiatives while addressing scalability reliability and compliance.
  

• Conduct architecture reviews identify risks and dependencies and guide teams on practical mitigation strategies.
  

• Drive performance reliability serverless-compute and cost optimization across AWS and Databricks environments.
  

• Support solutioning RFP responses effort estimation technical presentations and workshops.
  

• Mentor architects and engineers and develop reusable accelerators reference architectures implementation frameworks and best practices.
  

What You Bring

• 14 years of experience in enterprise data architecture AWS data platforms Databricks data engineering and cloud modernization.
  

• Hands-on expertise with AWS data services Databricks Databricks Genie Unity Catalog Delta Lake Python PySpark and SQL.
  

• Strong knowledge of the Databricks Data Intelligence Platform including Databricks SQL Workflows Lakeflow MLflow serverless compute and performance optimization.
  

• Experience designing Lakehouse architectures enterprise data platforms data products warehouses semantic layers and modern analytics solutions.
  

• Expertise in ETL/ELT batch and streaming integration APIs orchestration data quality metadata management lineage observability and DataOps.
  

• Experience implementing IAM/RBAC encryption privacy masking retention auditability governance and responsible AI controls.
  

• Experience supporting cloud transformation architecture governance RFPs estimates and client-facing solution discussions.
  

• Understanding of financial services regulatory security privacy resilience and audit requirements.
  

• Bachelors degree in a relevant discipline. AWS Databricks data engineering architecture security or AI/ML certifications are preferred.