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EY - GDS Consulting - AI and DATA- Cloud architect- Manager

EY - GDS Consulting - AI and DATA- Cloud architect- Manager

5 - 10 years

25 - 30 Lacs

kochi

Posted:2 weeks ago| Platform:

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Skills Required

python data architecture distributed computing sql stakeholder management data services azure machine learning microsoft azure pyspark power bi artificial intelligence tableau sql azure hub spark oracle adf kafka aws data lake adb

Work Mode

Work from Office

Job Type

Full Time

Job Description

Your key responsibilities

Architecture & Solutioning

Design and propose Azure-based data and AI solutions that align with customer objectives and solve business challenges.

Architect and implement data platforms that support real-time, batch, and hybrid analytics .

Recommend design alternatives for data ingestion , processing , and provisioning layers .

Define and develop client-specific best practices around data management in cloud environments.

Translate business problems into data models , analytics pipelines , and BI/ML solutions .

Collaborate with cross-functional teams to ensure data security , scalability , and performance .

Data Engineering & Development

Develop standardized practices for delivering new products and capabilities using Big Data & cloud technologies .

Design and develop data ingestion programs for large datasets in batch mode using ADB, ADF, Synapse, PySpark, and Python.

Build real-time ingestion pipelines using Apache Kafka, Spark Streaming, and related technologies.

Lead the development of data Lakehouse architectures , streaming pipelines , and data integration frameworks .

Governance, Quality & Patterns

Define and implement data governance , lineage , and quality frameworks .

Guide teams on various modern data design patterns , e.g.

ETL/ELT

Lambda/Kappa Architecture

Data Vault & Dimensional Modelling

Streaming Data Pipelines

CQRS

Change Data Capture (CDC)

Schema Evolution

Immutable Data

Polyglot Persistence

Leadership & Client Engagement

Interact with senior client technology leaders to understand business goals and propose solutions.

Lead technical delivery , including effort estimation , solution design , and team management .

Develop and present PoCs , demos , and technical proposals to stakeholders and clients.

Build and mentor technical teams and contribute to capability development .

Skills and Attributes for Success

Strong understanding of cloud ecosystems (Azure, AWS) and distributed computing paradigms .

Hands-on experience with

Azure Data Services Synapse, ADF, ADB, Azure SQL, Data Lake, Microsoft Fabric

Programming Python, PySpark, SQL

Streaming Kafka, Event Hubs, Spark Streaming

BI Tools Power BI, Tableau

Comprehensive applied knowledge of

Data modelling (dimensional, vault)

Data governance , metadata management , and data observability

Performance tuning

Strong stakeholder management and ability to bridge business and technical teams .

Exposure to AI/ML platforms Azure Machine Learning, Cognitive Services, Azure OpenAI.

To Qualify for the Role, You Must Have

Minimum 10 years of industry experience , with 7+ years in data architecture and analytics .

Proven experience in enterprise-grade solution implementations .

Strong understanding and hands-on experience in data strategy , cloud-native architectures , and analytics modernization .

Experience in responding to RFPs/RFIs , creating technical documentation , and leading solution design workshops .

Ideally, Youll Also Have

Project and client management skills.

Experience in solutioning and pre-sales engagements.

Exposure to data mesh principles and domain-oriented data product design .

Familiarity with data fabric architectures and multi-cloud data strategies .

Familiarity with real-time analytics

Experience with feature stores and ML model operationalization .

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EY - GDS Consulting - AI and DATA- Cloud architect- Manager