Manager – Azure Data Architect

Manager - Azure Data Architect at EY GDS, helping clients with data solutions using cloud technologies. Responsible for project delivery, architecture, and best practices around data management.

Posted 7/19/2026full-timeKolkata • 🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in developing and delivering technology solutions using Big Data and cloud technologies, with a strong focus on data management, ingestion, and processing. Proven ability to interact with senior stakeholders and translate business goals into technical solutions while managing teams and ensuring successful project delivery.

Highest-signal resume keywords

Big Data TechnologiesCloud ArchitectureData Ingestion ProgramsTeam ManagementETL Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ADBADFPySparkPythonSQLApache KafkaSpark StreamingData GovernanceData ModellingData Processing

Soft Skills

Stakeholder ManagementClient InteractionProcess ManagementDelivery Management

Tools & Technologies

AWSMicrosoft AzureBI ToolsData Analytics Databases

Industry Keywords

Cloud EcosystemDistributed ComputingEnterprise SolutionsPerformance Benchmarking

Tech Stack

Tools & technologies

ApacheAWSAzureCloudETLKafkaPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Develop standardized practices for delivering new products and capabilities using Big Data & cloud technologies, including data acquisition, transformation, analysis, Modelling, Governance & Data management skills
Interact with senior client technology leaders, understand their business goals, create, propose solution, estimate effort, build architectures, develop and deliver technology solutions
Define and develop client specific best practices around data management within a cloud environment
Recommend design alternatives for data ingestion, processing and provisioning layers
Design and develop data ingestion programs to process large data sets in Batch mode using ADB, ADF, PySpark, Python, Snypase
Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies
Have managed team and have experience in end to end delivery
Have experience of building technical capability and teams to deliver

Requirements

What you’ll need

Minimum 7 years hand-on experience in one or more of the above areas.
Minimum 10 years industry experience
Strong understanding & familiarity with all Cloud Ecosystem components
Strong understanding of underlying Cloud Architectural concepts and distributed computing paradigms
Experience in the development of large scale data processing.
Hands-on programming experience in ADB, ADF, Synapse, Python, PySpark, SQL
Hands-on expertise in cloud services like AWS, and/or Microsoft Azure eco system
Solid understanding of ETL methodologies in a multi-tiered stack with Data Modelling & Data Governance
Experience with BI, and data analytics databases
Experience in converting business problems/challenges to technical solutions considering security, performance, scalability etc.
Experience in Enterprise grade solution implementations.
Experience in performance bench marking enterprise applications
Strong stakeholder, client, team, process & delivery management skills

Benefits

Comp & perks

Support, coaching and feedback from some of the most engaging colleagues around
Opportunities to develop new skills and progress your career
The freedom and flexibility to handle your role in a way that’s right for you