EY-GDS Consulting-AI And DATA-Data Architect-Senior Manager

Bengaluru, KA, IndiaPosted about 1 month agoDiscoveredMatch locked

About the role

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

– Senior Manager – Data Architect

As part of our EY-GDS AI & Data 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 Manufacturing, Healthcare, Retail, Energy and Auto, Supply Chain, HR and Finance.

The opportunity

We’re looking for Senior Managers (Senior Data Architects) with strong technology and data understanding having proven Pre-sales & Delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Consulting Business.

Your key responsibilities

•

Architecture & Solutioning

Design and propose

cloud-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

Responsible for creating

Thought Leadership and Prototypes

across horizontals and industry use cases.

Articulate examples of Modern Data Platforms, AI Ready Data

•

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 data bricks, cloud DBs, PySpark, Python and Orchestration tools.

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

Design and develop high-quality, efficient, testable code in Python and other languages.

•

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

Experience in managing delivery teams and career transformations of the people.

Skills and Attributes for Success

Strong understanding of

cloud ecosystems

(Azure, AWS, GCP) and

distributed computing paradigms

Hands-on experience with:

•

Azure Data Services

: Synapse, ADF, ADB, Azure SQL, Data Lake, Microsoft Fabric •

Programming

: Python, PySpark, SQL

Proficient in Databricks / Snowflake

•

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

14+ years of industry experience

, with

7+ years in data architecture and analytics

Proven experience in

enterprise-grade solution implementations

Experience in working & managing global stakeholders.

Should have driven significant business outcomes as a part of their role.

Strong understanding and hands-on experience in

data strategy

cloud-native architectures

, and

analytics modernization

Have deep Pre-sales experience leading and supporting deals

Experience in

responding to RFPs/RFIs

, creating

technical documentation

, and leading

solution design workshops

Ideally, You’ll Also Have

Pre-sales, 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, data mesh

and

multi-cloud data strategies

Familiarity with real-time analytics

What we look for

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

What working at EY offers

At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

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

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Skills

azureartificial-intelligencemachine-learningpythonsqlkafkasparkawsdatabricksgcppower-bisnowflake

Who can apply

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