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Data Platform Engineer
at Accenture · IT Services
Bengaluru
On-site
5-10 years
16 days ago
₹7.9–8.73 LPA (est.)
Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : AI & Data Solution Architecture
Good to have skills : NA
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a AI Solution Architect, you will define the architecture requirements and structure for the application. Senior FDE architect (5–10 yrs) defining, guiding, and governing AI-first, cloud-native architectures for SAP customers. You will collaborate with various teams to ensure that the data Engineer is robust, scalable, and efficient, while also addressing any challenges that arise during the development process. Your role will be pivotal in shaping the data landscape of the organization, enabling data-driven decision-making and fostering innovation through effective data management practices.
Responsibilities:
Lead architecture workshops assess existing landscapes and propose integration patterns.
Design cloud-native, domain-driven, event/API-first architectures for 90-day delivery.
Define AI patterns (LLM, RAG, MCP, vector search) and enforce AI safety – ensuring security, IAM, reliability, observability, and DevSecOps practices.
Coach engineering teams and drive architecture decisions.
Nice to Have:
Proven Solution/Development Architect for cloud-native, multi-tenant SaaS
Familiar with LLMs, RAG architectures, and agentic systems.
Strong backend stack (Python/Node/Java), data platforms (HANA, Databricks/Spark), and CI/CD.
Additional Information:
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : AI & Data Solution Architecture
Good to have skills : NA
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a AI Solution Architect, you will define the architecture requirements and structure for the application. Senior FDE architect (5–10 yrs) defining, guiding, and governing AI-first, cloud-native architectures for SAP customers. You will collaborate with various teams to ensure that the data Engineer is robust, scalable, and efficient, while also addressing any challenges that arise during the development process. Your role will be pivotal in shaping the data landscape of the organization, enabling data-driven decision-making and fostering innovation through effective data management practices.
Responsibilities:
Lead architecture workshops assess existing landscapes and propose integration patterns.
Design cloud-native, domain-driven, event/API-first architectures for 90-day delivery.
Define AI patterns (LLM, RAG, MCP, vector search) and enforce AI safety – ensuring security, IAM, reliability, observability, and DevSecOps practices.
Coach engineering teams and drive architecture decisions.
Nice to Have:
Proven Solution/Development Architect for cloud-native, multi-tenant SaaS
- Broad background across app, data, and ML/AI integration.
Familiar with LLMs, RAG architectures, and agentic systems.
Strong backend stack (Python/Node/Java), data platforms (HANA, Databricks/Spark), and CI/CD.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Data Engineering/Machine learning
- This position is based at our Bengaluru/Pune office.
- 15 years full time education is required.
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