Cloud Data Architect Azure and AWS

Position:- Cloud Data Architect (Azure & AWS)

Technology-

Experience

Work Location -

Deep expertise in Azure and AWS data ecosystems to lead end-to-

end solutioning covering data ingestion, transformation, governance, security, and analytics platform design

Solution Architecture & Delivery

• Design, architect, and implement modern cloud-native data

platforms on Azure and AWS tailored to client needs

• Build data lakehouse solutions using Azure Synapse,

Databricks, AWS Redshift, Glue, EMR, and Delta Lake

• Lead the development of ETL/ELT pipelines with Azure Data

Factory, Databricks, AWS Glue, and PySpark

• Architect federated data access solutions using Trino,

Athena, or Synapse Serverless for cross-platform querying

• Implement best practices in data modeling, partitioning,

cataloging, and metadata management

• Oversee data governance, compliance, and security setup

using Azure Purview, Lake Formation, IAM, RBAC, and

encryption

Pre-Sales & Client Engagement

• Collaborate with the sales and business development teams

during RFPs, RFIs, and client discovery calls

• Create and deliver technical presentations, product

demonstrations, and solution walkthroughs to prospective

clients

• Lead and build Proof of Concept (PoC) environments to

demonstrate platform capabilities

• Draft and contribute to technical proposals, solution

blueprints, architecture diagrams, and effort estimations

• Assess client requirements and translate them into scalable

and cost-effective cloud architectures

Leadership & Collaboration

• Guide and mentor data engineers, architects, and developers on cloud data best practices
• Collaborate with DevOps teams to enable CI/CD pipelines,

infrastructure automation, and monitoring

• Stay up to date with emerging technologies in cloud data

engineering, lakehouse patterns, and federated query

engines

Desired Profile

Expertise in Azure data services: Azure Data Factory, ADLS Gen2, Synapse, Databricks, Azure Functions

Expertise in AWS data services: S3, Glue, Redshift, Athena, EMR, Lambda, Lake Formation

Experience with Trino (PrestoSQL) for federated querying across multiple data sources

SQL, Python, PySpark, and experience with large-scale distributed data processing

Proficiency in data lakehouse architecture, medallion/layered models, and cost-efficient storage design

Familiarity with DevOps practices, including Git, Terraform/CloudFormation, CI/CD pipelines

Experience preparing client-ready technical proposals, diagrams, and TCO models

Strong knowledge of cloud cost optimization strategies and performance tuning techniques

Excellent communication and client presentation skills

Proven ability to influence stakeholders and lead

solution discussions

Strong analytical thinking and problem-solving attitude

Ability to handle both strategic solutioning and hands-on implementation

Team player with mentoring and leadership capabilities

Qualification -

Preferred Certifications:

• Microsoft Certified: Azure Data Engineer Associate / Azure

Solutions Architect Expert

• AWS Certified: Data Analytics Specialty / Solutions Architect

Associate or Professional

• Databricks Certified Data Engineer or Architect
• Trino/Presto certification (if applicable) is a plus