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