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Job Description
Project Role : Application Support Engineer
Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.
Must have skills : Data Architecture Principles
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an Application Support Engineer, a typical day involves acting as a software detective by investigating and resolving issues across various components of essential business systems. This role requires a proactive approach to identifying problems, analyzing system behaviors, and ensuring the smooth operation of critical applications. The position demands continuous monitoring, collaboration with different teams, and delivering timely solutions to maintain system reliability and performance in a dynamic business environment.
Data Architect JD :
We're building a real-time agentic AI platform that proactively manages Jio's customer onboarding experience across 400M+ subscribers. The Data Architect will own the data foundation that every agent decision is made against - from the hot Redis context layer to the bitemporal Postgres audit store to the ADF pipelines that feed historical signal into the system. This is not a reporting or warehousing role. This is data infrastructure for a live, decision-making AI system.
What He'll Do
Design and own the Unified Customer Context Store - the always-fresh customer profile that agent orchestrators hydrate at runtime
Define the multi-tier storage architecture - Redis hot layer, Postgres durable store, and the projection layer bridging them
Build ADF pipelines ingesting signals from call centres, network diagnostics, billing, app interactions, and CRM
Own the event streaming layer enabling real-time signals (speed drops, SR creation, device events) into the agent platform
Define data contracts between source APIs and the agent layer - schema, latency SLAs, and degraded-mode behaviour
Design the learning and feedback data layer - capturing agent decision outcomes and human override signals for continuous improvement
Ensure compliance with TRAI data residency and privacy requirements
Required Skills
Skill What's Expected
Redis HASHes, ZSETs, TTL policies, key hierarchy design, eviction strategy, cache-miss fallback
Postgres Bitemporal modelling, immutable audit tables, projection/read-model patterns, high-write indexing
Event Streaming Kafka or Azure Event Hubs - topic design, consumer groups, exactly-once semantics, backpressure
Azure Data Factory Pipeline design, trigger patterns, near-real-time ingestion, monitoring
API Integration REST and SOAP data mapping, telco-grade APIs (CRM, Billing, Network)
Real-time Architecture Multi-tier data design, latency/consistency trade-offs, data freshness at scale
Data Modelling for AI How LLM agents consume structured state - context assembly, agent reasoning vs. storage
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead efforts to streamline communication and coordination among cross-functional groups to enhance problem resolution efficiency.
- Mentor junior team members by sharing knowledge and guiding them through complex technical challenges.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Architecture Principles.
- Strong knowledge of system integration and data flow management within enterprise environments.
- Experience in troubleshooting complex software issues and performing root cause analysis.
- Ability to design and implement scalable data solutions that support business needs.
- Familiarity with database management and data modeling concepts.
- Excellent problem-solving skills with a focus on maintaining system stability and performance.
Additional Information:
- The candidate should have minimum 12 years of experience in Data Architecture Principles.
- This position is based at our Mumbai office.
- A 15 years full time education is required.15 years full time education
Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.
Must have skills : Data Architecture Principles
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an Application Support Engineer, a typical day involves acting as a software detective by investigating and resolving issues across various components of essential business systems. This role requires a proactive approach to identifying problems, analyzing system behaviors, and ensuring the smooth operation of critical applications. The position demands continuous monitoring, collaboration with different teams, and delivering timely solutions to maintain system reliability and performance in a dynamic business environment.
Data Architect JD :
We're building a real-time agentic AI platform that proactively manages Jio's customer onboarding experience across 400M+ subscribers. The Data Architect will own the data foundation that every agent decision is made against - from the hot Redis context layer to the bitemporal Postgres audit store to the ADF pipelines that feed historical signal into the system. This is not a reporting or warehousing role. This is data infrastructure for a live, decision-making AI system.
What He'll Do
Design and own the Unified Customer Context Store - the always-fresh customer profile that agent orchestrators hydrate at runtime
Define the multi-tier storage architecture - Redis hot layer, Postgres durable store, and the projection layer bridging them
Build ADF pipelines ingesting signals from call centres, network diagnostics, billing, app interactions, and CRM
Own the event streaming layer enabling real-time signals (speed drops, SR creation, device events) into the agent platform
Define data contracts between source APIs and the agent layer - schema, latency SLAs, and degraded-mode behaviour
Design the learning and feedback data layer - capturing agent decision outcomes and human override signals for continuous improvement
Ensure compliance with TRAI data residency and privacy requirements
Required Skills
Skill What's Expected
Redis HASHes, ZSETs, TTL policies, key hierarchy design, eviction strategy, cache-miss fallback
Postgres Bitemporal modelling, immutable audit tables, projection/read-model patterns, high-write indexing
Event Streaming Kafka or Azure Event Hubs - topic design, consumer groups, exactly-once semantics, backpressure
Azure Data Factory Pipeline design, trigger patterns, near-real-time ingestion, monitoring
API Integration REST and SOAP data mapping, telco-grade APIs (CRM, Billing, Network)
Real-time Architecture Multi-tier data design, latency/consistency trade-offs, data freshness at scale
Data Modelling for AI How LLM agents consume structured state - context assembly, agent reasoning vs. storage
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead efforts to streamline communication and coordination among cross-functional groups to enhance problem resolution efficiency.
- Mentor junior team members by sharing knowledge and guiding them through complex technical challenges.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Architecture Principles.
- Strong knowledge of system integration and data flow management within enterprise environments.
- Experience in troubleshooting complex software issues and performing root cause analysis.
- Ability to design and implement scalable data solutions that support business needs.
- Familiarity with database management and data modeling concepts.
- Excellent problem-solving skills with a focus on maintaining system stability and performance.
Additional Information:
- The candidate should have minimum 12 years of experience in Data Architecture Principles.
- This position is based at our Mumbai office.
- A 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
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