Job Description
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 Py Spark
• 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 (Po C) 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 Dev Ops 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 (Presto SQL) for federated querying across multiple data sources
➢ Strong programming skills in SQL, Python, Py Spark, and experience with large-scale distributed data processing
➢ Proficiency in data lakehouse architecture, medallion/layered models, and cost-efficient storage design
➢ Familiarity with Dev Ops practices, including Git, Terraform/Cloud Formation, 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
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 Py Spark
• 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 (Po C) 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 Dev Ops 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 (Presto SQL) for federated querying across multiple data sources
➢ Strong programming skills in SQL, Python, Py Spark, and experience with large-scale distributed data processing
➢ Proficiency in data lakehouse architecture, medallion/layered models, and cost-efficient storage design
➢ Familiarity with Dev Ops practices, including Git, Terraform/Cloud Formation, 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
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