Data Architect at Accenture

Bengaluru, Karnataka, India

Accenture Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, ConsultingIndustries

Requirements

  • Minimum 12 years of experience in Data Architecture Principles
  • Proficiency in Data Architecture Principles (Must To Have)
  • Strong understanding of data modeling techniques and methodologies
  • Experience with data integration tools and ETL processes
  • Knowledge of database management systems and data storage solutions
  • Familiarity with cloud-based data architecture and services
  • 15 years full time education

Responsibilities

  • Define the data requirements and structure for the application
  • Model and design the application data structure, storage, and integration
  • Act as a Subject Matter Expert (SME)
  • Collaborate and manage the team to perform
  • Be responsible for team decisions
  • Engage with multiple teams and contribute to key decisions
  • Provide solutions to problems that apply across multiple teams
  • Facilitate workshops and discussions to gather requirements and feedback from stakeholders
  • Mentor junior professionals in best practices and emerging trends in data architecture
  • Ensure data architecture aligns with business objectives, technical specifications, functionality, performance needs, scalability, and security

Skills

Data Architecture Principles
Data Modeling
ETL
Database Management Systems
Data Storage Solutions
Cloud Data Architecture
Data Integration Tools

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters
1989Year Founded
$8.5MTotal Funding
IPOCompany Stage
Consulting, Enterprise Software, CybersecurityIndustries
10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.
Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.
The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.
The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.
Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.
The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.
Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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