Role at a glance
- Job function
-
Software Engineering & IT Solutions Architecture
- Salary
- Not Disclosed
- Location
- Bengaluru
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Minimum 5 year(s) of experience is required
- Education
- 15 years full time education is required.
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Role Summary
The Technology Architect designs and delivers architecture for data platforms and engagements, integrating application requirements across functional, security, integration, performance, quality, and operations needs. The role focuses on Databricks-based data and analytics solutions and involves collaboration with technical teams and stakeholders to shape architecture decisions.
What You'll Do
- Review and integrate application requirements across functional, security, integration, performance, quality, and operations needs.
- Assess technical architecture requirements with various teams.
- Provide input on decisions regarding hardware, network products, system software, and security measures.
- Implement data ingestion pipelines from multiple sources and create end to end data pipelines on Databricks.
- Run solution workshops, conduct client visits, handle large RFP pursuits, and manage multiple stakeholders.
- Develop technical solutions in Data and Analytics.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Databricks Unified Data Analytics Platform; data ingestion pipelines from multiple sources; end to end data pipelines on Databricks; Python, PySpark or Scala; Databricks on cloud; ETL; data engineering; data cleansing and insertion into a data warehouse; strong requirement analysis and technical solutioning skills in Data and Analytics; excellent writing, communication and presentation skills; excellent client facing and interpersonal skills.
Required
- Databricks Unified Data Analytics Platform
- Minimum 5 year(s) of experience
- 6 or more years of experience in implementing data ingestion pipelines from multiple sources and creating end to end data pipeline on...
- 2 or more years of experience using Python, PySpark or Scala
- Experience in Databricks on cloud
- ETL
- Data engineering
- Data cleansing and insertion into a data warehouse
Preferred
- Cloud Data Architecture
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : Cloud Data Architecture
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Technology Architect, you will engage in a dynamic environment where you will review and integrate all application requirements, ensuring that functional, security, integration, performance, quality, and operations needs are met. Your typical day will involve collaborating with various teams to assess technical architecture requirements and providing valuable input into critical decisions regarding hardware, network products, system software, and security measures. You will play a pivotal role in shaping the technological landscape of the organization, ensuring that all components work harmoniously to achieve business objectives.
Roles & Responsibilities:
Should have a minimum of 8 years of experience in Databricks Unified Data Analytics Platform. Good experience in implementing data ingestion pipelines from multiple sources and creating end to end data pipeline on Databricks platform Should have strong educational background in technology and information architectures, along with a proven track record of delivering impactful data-driven solutions.
Strong requirement analysis and technical solutioning skill in Data and Analytics
Client facing role in terms of running solution workshops, client visits, handled large RFP pursuits and managed multiple stakeholders.
Technical Experience:
6 or more years of experience in implementing data ingestion pipelines from multiple sources and creating end to end data pipeline on Databricks platform.
2 or more years of experience using Python, PySpark or Scala.
Experience in Databricks on cloud. Exp in any of AWS, Azure or GCPe, ETL, data engineering, data cleansing and insertion into a data warehouse
Must have Skills like Databricks, Cloud Data Architecture, Python Programming Language, Data Engineering.
Professional Attributes:
Excellent writing, communication and presentation skills.
Eagerness to learn and develop self on an ongoing basis. Excellent client facing and interpersonal skills.
Education Qualification:
- 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.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.
About the company
Accenture
Large Enterprise
Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.