Data Architect
- Location
- United States · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 3+ years
- Education
- Bachelor's degree
- Listed
- Yesterday
Skills & highlights for this role
- Databricks Unified Data Analytics Platform
- Data modeling
- Data storage solutions
- Data integration
- Cloud-based data platforms
- Distributed computing
Also useful
- Large Language Models (LLMs)
- Generative AI
About the role
Project Role: Data Architect
Project Role Description
Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills
Databricks Unified Data Analytics Platform
Good to have skills
- Large Language Models (LLMs), Generative AI
- Minimum 3 year(s) of experience is required
Educational Qualification
15 years full time education
Summary
As a Data Architect, your day involves defining the data requirements and designing the structure necessary for the application s success. You will focus on modeling the data architecture, ensuring that storage solutions are efficient and scalable. Integration of data across various systems will be a key part of your role, requiring thoughtful planning and coordination to support seamless data flow and accessibility. Your work will contribute to building a robust foundation that supports the application s functionality and performance, collaborating with multiple teams to align data strategies with project goals.
Roles & Responsibilities
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to ensure data architecture aligns with business needs and technical requirements.
- Continuously evaluate and improve data models and storage solutions to enhance system efficiency and scalability.
- Document data architecture designs and standards to facilitate knowledge sharing and maintain consistency.
- Support junior team members by providing guidance and sharing best practices in data architecture.
Professional & Technical Skills
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Good To Have Skills: Experience with Generative AI, Large Language Models (LLMs).
- Strong knowledge of data modeling techniques and best practices for designing scalable data architectures.
- Experience in managing data storage solutions and ensuring efficient data integration across platforms.
- Ability to analyze complex data requirements and translate them into effective architectural designs.
- Familiarity with cloud-based data platforms and distributed computing environments.
Additional Information
- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
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.
Equal opportunity and legal notices
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.
From Core Compete's careers page, first listed on Rolev.ai on November 14, 2026. Rolev.ai is not the employer.
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More at Core Compete
All Core Compete jobsCommon questions
Where is the Data Architect job at Core Compete located?
This Data Architect position at Core Compete is located in United States (On-site). Always check Core Compete's application page for specific state eligibility or relocation policies.
What qualifications are required for Data Architect at Core Compete?
For the Data Architect role, Core Compete highlights 3+ years of relevant experience; a bachelor's degree; experience with Databricks Unified Data Analytics Platform, Data modeling, Data storage solutions, Data integration, Cloud-based data platforms, Distributed computing. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Data Architect position at Core Compete?
This listing links directly to Core Compete's Workday application page. You can apply directly on Core Compete's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.