Enterprise Architect at Accenture

Bengaluru, Karnataka, India

Accenture Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • Minimum 5 years of experience in AWS Analytics (must-have: Proficiency in AWS Analytics; also listed: AWS AI Services)
  • 15 years full-time education
  • Strong understanding of data warehousing concepts and architecture
  • Experience with data modeling and database design
  • Familiarity with data governance and data quality frameworks
  • Knowledge of programming languages such as Python or Java for data processing

Responsibilities

  • Define and implement enterprise architecture strategies and operating models
  • Articulate a compelling enterprise architecture vision, target state, and transformation roadmap
  • 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 for immediate team and across multiple teams
  • Mentor junior team members to enhance their skills and knowledge in data engineering
  • Design, develop, and maintain data solutions that facilitate data generation, collection, and processing
  • Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems

Skills

AWS AI Services
AWS Analytics
Data Warehousing
Data Modeling
Database Design
Data Governance
Data Quality
Python
Java
ETL

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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