Designs and integrates technical and application architecture requirements across security, performance, quality, integration, and operations. Develops Databricks data ingestion and end-to-end pipelines from multiple sources, using Python, PySpark, or Scala in cloud environments. Provides data engineering and cloud architecture solutions, leads client workshops and RFP pursuits, and manages stakeholders while advising on infrastructure, software, networking, and security decisions.
Project Role : Technology Architect
Project Role Description : Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software and security.
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
Project Role Description : Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software and security.
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.
Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
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What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
