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

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

8 - 18 years

30 - 37 Lacs

bengaluru

Posted:4 days ago| Platform:

Apply

Skills Required

performance tuning consulting presales healthcare apache microsoft analytics technical documentation sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

EY GDS

Data and Analytics (D&A) - Manager - Azure Data Architect

As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.

The opportunity

We re looking for Managers (Big Data Architects) with strong technology and data understanding having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.

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, You ll 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
.

People with technical experience and enthusiasm to learn new things in this fast-moving environment

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

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

EY GDS

Data and Analytics (D&A) - Manager - Azure Data Architect

The opportunity

Your key responsibilities

Architecture & Solutioning

Azure-based data and AI solutions

data platforms

real-time, batch, and hybrid analytics

data ingestion

processing

provisioning layers

client-specific best practices

data models

analytics pipelines

BI/ML solutions

data security

scalability

performance

Data Engineering & Development

Big Data & cloud technologies

data ingestion programs

batch mode

real-time ingestion pipelines

data Lakehouse architectures

streaming pipelines

data integration frameworks

Governance, Quality & Patterns

data governance

lineage

quality frameworks

data design patterns

Leadership & Client Engagement

technical delivery

effort estimation

solution design

team management

PoCs

demos

technical proposals

technical teams

capability development

Skills and Attributes for Success

cloud ecosystems

distributed computing paradigms

Azure Data Services

Programming

Streaming

BI Tools

Data modelling

Data governance

metadata management

data observability

Performance tuning

stakeholder management

business and technical teams

AI/ML platforms

To Qualify for the Role, You Must Have

10 years of industry experience

7+ years in data architecture and analytics

enterprise-grade solution implementations

data strategy

cloud-native architectures

analytics modernization

responding to RFPs/RFIs

technical documentation

solution design workshops

Ideally, You ll Also Have

solutioning and pre-sales

data mesh principles