Indore Madhya Pradesh Data governance Jobs – 59 Open Jobs Today

Enterprise Architect
Impetus Technologies —Indore, Madhya Pradesh
- DevOps
- Java
- Master's degree
Responsible AI Tech Lead
Accenture —Indore, Madhya Pradesh
- Full-time
- Azure
- SharePoint
- AI
Business Development Manager
YuCollect —Indore, Madhya Pradesh
- Full-time
- English
- Business development
- Presentation skills

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Responsible AI Tech Lead
Accenture —Indore, Madhya Pradesh
As a Responsible AI Tech Lead, you will ensure the ethical and responsible use of artificial intelligence technologies. Expected to be an SME.
Enterprise Architect
Impetus Technologies —Indore, Madhya Pradesh
Embed security‑by‑design and privacy‑by‑design principles. Present and demonstrate AI solutions directly to client and executive stakeholders.

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Enterprise Architect

Impetus Technologies -
Indore, Madhya Pradesh

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Job details

Qualifications

Spring Boot
CI/CD
Cloud architecture
Law
Kubernetes
Big data
DevOps
NoSQL
Apache Hive
J2EE
Java
Master's degree
SQL
Docker
Scala
Continuous integration
REST
APIs
Kafka
AI
Spring framework
Design patterns

Full job description

Indore, Madhya Pradesh, India;Noida, Uttar Pradesh, India;Bangalore, Karnataka, India

Qualification

The Enterprise Architect will be responsible for designing, governing, and evolving large‑scale enterprise solutions leveraging Java‑based platforms, Generative AI capabilities, and Big Data ecosystems. This role requires close collaboration with business stakeholders, delivery teams, and leadership to ensure scalable, secure, and future‑ready architectures aligned with business strategy.

Technical Skills & Expertise

Core Technologies

Java/J2EE, Spring Boot, REST APIs, Microservices architecture

Cloud Platforms: GCP (architecture & deployment)

DevOps & Platforms: Docker, Kubernetes, CI/CD pipelines

Generative AI

Hands‑on experience with LLMs (OpenAI, Claude, Llama, Mistral, etc.)

RAG architectures, Vector Databases (Pinecone, FAISS, OpenSearch, etc.)

Frameworks & tools: LangChain, LangGraph, Agentic AI frameworks

Prompt engineering, orchestration, and AI governance practices

Big Data & Analytics

Data processing frameworks: PySpark, Scala, Hive, Kafka, Databricks

Data platforms: Data Lakes, Lakehouse architectures

SQL & NoSQL databases

Data governance, quality, and metadata management

Architecture & Governance

Enterprise integration patterns

System scalability, performance, and resiliency design

Security‑by‑design and compliance (enterprise standards)

Experience working in large enterprise or regulated environments

Skills Required

GCP, Pyspark, Java, SQL, Architect

Role

Enterprise Architecture & Strategy

Define and own enterprise architecture vision, principles, standards, and reference architectures

Translate business goals and roadmaps into technology blueprints and transition architectures

Evaluate trade‑offs across scalability, performance, cost, security, and time‑to‑market

Govern architecture decisions across multiple teams and programs

Ensure alignment of solutions with long‑term enterprise and product strategy

Mentor architects and senior engineers; guide technical decision‑making across teams

Java & Application Architecture

Architect large‑scale enterprise applications using Java/J2EE, Spring Boot, and microservices

Define REST‑based, event‑driven, and API‑first integration patterns

Guide modernization of legacy monoliths into cloud‑native and microservices‑based systems

Ensure best practices for JVM performance, resilience, caching, and fault tolerance

Set standards for code quality, design patterns, and reusable enterprise components

Generative AI Architecture

Lead Generative AI use‑case discovery, design, and implementation across business functions

Design enterprise‑grade RAG architectures, AI agents, assistants, and automation workflows

Own GenAI architecture aspects such as:

LLM selection and orchestration

Prompt engineering strategies

Vector database design and embedding pipelines

AI workflow orchestration and agent frameworks

Define governance for responsible AI, security, privacy, and cost controls

Present and demonstrate AI solutions directly to client and executive stakeholders

Big Data & Data Platform Architecture

Design and govern enterprise data platforms including data lakes, lakehouse, and analytics layers

Architect batch, near‑real‑time, and streaming data pipelines

Enable AI‑ready data architectures with metadata management, lineage, and quality controls

Guide teams on scalable storage, compute, and query patterns for high‑volume data systems

Ensure tight integration between transactional systems and analytical platforms

Nice to have experience in Mainframe migration using PySpark.

Cloud, DevOps & Platforms

Define hybrid and cloud‑native architectures on GCP

Architect containerized platforms using Docker and Kubernetes

Drive DevOps and CI/CD strategies for faster, reliable delivery

Align infrastructure and platform decisions with application, AI, and data needs

Optimize architecture for cost, resilience, and operational efficiency

Governance, Security & Compliance

Ensure solutions meet enterprise security, compliance, and regulatory standards

Embed security‑by‑design and privacy‑by‑design principles

Review architecture for performance, scalability, availability, and disaster recovery

Support audits, risk assessments, and architectural sign‑offs

Leadership, Mentoring & Collaboration

Act as a technical authority across multiple teams and programs

Mentor architects, tech leads, and senior engineers

Review and guide solution designs, POCs, and complex implementations

Collaborate closely with product managers, PMO, delivery managers, and leadership

Mentor architects and senior engineers; guide technical decision‑making across teams

Support pre‑sales, RFP responses, SOW design, and effort estimations when required

Experience

10 to 14 years

Job Reference Number

13753

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