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Data Platform Engineer
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Data Platform Engineer
Accenture7-9 Years
- Posted 6 hours ago
- Be among the first 10 applicants
Job Description
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 Agents & Workflow Integration
Good to have skills : NA
Minimum 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a AI agentic Engineer, you will define the data requirements and structure for the application Embedded FDE engineer (5–10 yrs) building AI-first SAP cloud applications and end-to-end solutions with 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:
Discover customer problems and frame AI-driven solutions.
Design and implement end-to-end cloud architectures and production apps on SAP BTP.
Build AI/LLM/Agentic features (RAG, hybrid retrieval) and integrate ML services.
Ensure quality, security, observability, and CI/CD.
Collaborate closely with customer teams, product, UX, data, and architecture.
Discover customer problems and frame AI-driven solutions.
Design and implement end-to-end cloud architectures and production apps on SAP BTP.
Build AI/LLM/Agentic features (RAG, hybrid retrieval) and integrate ML services.
Ensure quality, security, observability, and CI/CD.
Collaborate closely with customer teams, product, UX, data, and architecture.
Nice to have:
5–10 yrs software engineering for cloud/enterprise/SaaS.
Proven delivery of multi-tenant, cloud-native apps.
Hands-on with LLMs, RAG, agentic frameworks (e.g., LangChain, LangGraph, MCP).
Strong Python/ML stack, REST/gRPC integration, vector DBs.
SAP BTP & HANA experience Databricks or similar data pipelines.
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 Agents & Workflow Integration
Good to have skills : NA
Minimum 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a AI agentic Engineer, you will define the data requirements and structure for the application Embedded FDE engineer (5–10 yrs) building AI-first SAP cloud applications and end-to-end solutions with 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:
Discover customer problems and frame AI-driven solutions.
Design and implement end-to-end cloud architectures and production apps on SAP BTP.
Build AI/LLM/Agentic features (RAG, hybrid retrieval) and integrate ML services.
Ensure quality, security, observability, and CI/CD.
Collaborate closely with customer teams, product, UX, data, and architecture.
Discover customer problems and frame AI-driven solutions.
Design and implement end-to-end cloud architectures and production apps on SAP BTP.
Build AI/LLM/Agentic features (RAG, hybrid retrieval) and integrate ML services.
Ensure quality, security, observability, and CI/CD.
Collaborate closely with customer teams, product, UX, data, and architecture.
Nice to have:
5–10 yrs software engineering for cloud/enterprise/SaaS.
Proven delivery of multi-tenant, cloud-native apps.
Hands-on with LLMs, RAG, agentic frameworks (e.g., LangChain, LangGraph, MCP).
Strong Python/ML stack, REST/gRPC integration, vector DBs.
SAP BTP & HANA experience Databricks or similar data pipelines.
Additional Information:
- The candidate should have minimum 7.5 years of experience in AI Agents & Workflow Integration.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
More Info
Key Skills
About Company
Skills:
graph databases , Neo4j, Scala, Python, Sql, TigerGraph, Graph Integration, AWS Neptune, Graph Query Optimization, ETL Pipelines, Graph Modeling
Skills:
Python, Databricks, Sql, Pyspark, Unit Testing, Terraform, Git, Azure DevOps, Azure Data Factory, Integration Testing, Spark SQL, Kubernetes, Docker, Apis, Jenkins, Data Modelling, Fabric Pipelines, Snowpark, dbt, Semantic Data, Modern Data Platforms, CI CD, Enterprise Orchestration Tools, Data Pipeline Testing, Databricks Workflows, Policy-as-Code, Microsoft Fabric, Infrastructure-as-Code, Cortex AI, Cloud ecosystems
Skills:
Bash Shell Scripting, Gitlab, Databricks, Python, AWS, monitoring and observability tools, Infrastructure-as-Code, CI CD
Skills:
data engineering , snowflake , Metadata Management, Databricks, Emr, Lambda, Kafka, Etl, Cloudformation, Data Warehousing, Terraform, S3, Big Data Technologies, ELT, Apache Airflow, Data Modeling, Data Governance, Kinesis, AWS, Kubernetes, Docker, Spark, Redshift, multi-dimensional modeling, dbt, Prefect, data quality frameworks, Glue, infrastructure-as-code, data cataloging, BI dashboarding tools