招聘
Project Role :
Data Platform Engineer
Project Role Description :
Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills :
Microsoft Azure Analytics Services
Good to have skills :
NA
Minimum 7.5 year(s) of experience is required
Educational Qualification :
15 years full time education
Summary:
As a Microsoft Azure Data Architect, you will be responsible for defining, designing, and governing enterprise data architectures on the Microsoft Azure platform. You will lead architecture strategy across multiple initiatives, ensuring alignment with business objectives, data governance, security, scalability, and performance standards. Your role includes owning end-to-end data architecture decisions, guiding delivery teams on best practices, reviewing technical designs, and ensuring consistent implementation of Azure data standards. You will collaborate closely with stakeholders, enterprise architects, and delivery leads while mentoring teams and driving data platform maturity.
Roles & Responsibilities:
- Act as the Azure Data Architecture Lead and SME across programs and projects.
Analyze business, data, and non-functional requirements and translate them into enterprise Azure data architecture designs.
Design end-to-end data platforms and solutions using Azure services such as Azure Data Factory, Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Databricks, and Azure SQL.
Define and govern data ingestion, integration, storage, and curation architectures for batch and near real-time use cases.
Establish and enforce enterprise data modeling standards, including dimensional, relational, and analytical models.
Define data governance, metadata, lineage, and quality strategies aligned with Azure best practices.
Ensure data security and compliance through RBAC, encryption, network controls, and auditing mechanisms.
Review architecture designs, code, and deployments to ensure adherence to standards and best practices.
Drive scalability planning, performance optimization, and cost control for Azure data platforms.
Collaborate with enterprise architects, cloud infrastructure, security teams, and business stakeholders on critical decisions.
Mentor team leads and senior engineers conduct design reviews and enable architectural best practices.
Provide architectural oversight during production incidents, root cause analysis, and platform improvements.
Professional & Technical Skills:
- Must-Have Skills with Microsoft Azure Data Platform as listed below
Strong hands-on and architectural experience with Microsoft Azure Data Platform, including:
o Azure Data Factory for orchestration and integration
o Azure Data Lake Storage Gen2
o Azure Synapse Analytics
o Azure Databricks
Strong working knowledge of Spark architecture, Py Spark, and distributed data processing frameworks.
Deep understanding of enterprise data architecture concepts, data warehousing, and analytical modeling patterns.
Experience designing secure, scalable, and governed cloud data platforms.
Strong knowledge of data security, governance, and compliance within Azure ecosystems.
Experience defining CI/CD, data deployment, and environment management strategies.
Ability to evaluate architectural trade-offs across flexibility, performance, cost, and maintainability
Advanced expertise in SQL for data modeling, analytics, and performance tuning.
Additional Information:
- The candidate should have 9–12 years of experience in data engineering, data architecture, or analytics roles.
This position is based at our Bengaluru, Chennai, Hyderabad office.
Minimum 15 years of full-time education (or equivalent).
Responsible for architecture governance and platform consistency across teams.
Drives standardization, reusability, and long-term data architecture strategy.
Accountable for secure, scalable, and compliant Azure data solutions.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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关于Accenture

Accenture
PublicAccenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.
10,001+
员工数
Dublin
总部位置
$139B
企业估值
评价
3.6
9条评价
工作生活平衡
2.8
薪酬
3.5
企业文化
3.2
职业发展
3.8
管理层
3.0
65%
推荐给朋友
优点
Good career growth and learning opportunities
Great culture and work environment
Challenging and interesting work
缺点
High levels of politics
Long hours and stress
Slow moving processes
薪资范围
20个数据点
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0份报告
$63,830
年薪总额
基本工资
$25,532
股票
$31,915
奖金
$6,383
$44,681
$82,979
面试经验
6次面试
难度
2.8
/ 5
时长
14-28周
录用率
17%
体验
正面 0%
中性 67%
负面 33%
面试流程
1
Application Review
2
Recruiter Screen
3
Cognitive Assessment
4
Technical Interview
5
Behavioral Assessment
6
Final Interview
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Case Study
Culture Fit
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