Cloud Data Architect (Azure & AWS)

Requirement: Cloud Data Architect (Azure & AWS)

Technology: Cloud Data Architect, Azure, AWS AWS Glue, S3, Redshift, and EMR, Data Factory, Data Lake, Synapse, and Databricks

Experience: 10+ years

Work Location: Navi Mumbai, Sanpada

Job Description:

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

➢ Strong programming skills in 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:

Bachelor's degree in a relevant field

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