Data Architect (Telco & Media (AI-Driven Data Platforms)

Staffing Services; Pune District; On-site; INR 450,000 - 800,000; Full time

Job summary

Staffing Services seeks a senior Data Architect to lead the design and execution of an AI and ML-driven, real-time data platform for Telco and Media.

You will collaborate with business leaders, domain specialists, and data science teams to build a Telco & Media Data Competency Center, develop monetizable IPs, accelerators, and reference architectures, and take solutions from POC to enterprise-scale production across cloud environments.

Qualifications

• Experience designing enterprise-grade data and AI platforms.
• Proven ability to build real-time and batch data pipelines.
• Strong knowledge of multi-cloud data architectures.
• Experience with data governance, security, and compliance.
• Ability to turn business goals into scalable data solutions.

Responsibilities

• Collaborate to define and execute Telco & Media Data & AI Platform strategy.
• Design real-time and batch data architectures ingesting diverse data.
• Build AI-ready data pipelines powering churn, personalization, ads, and fraud.
• Architect multi-cloud data platforms across Azure, AWS, and GCP.
• Establish feature stores, ML datasets, and feedback loops for improvement.
• Create reusable ingestion frameworks and reference architectures.
• Develop POCs, pilots, and production-grade accelerators with measurable impact.
• Implement governance, security, lineage, and compliance controls.

Skills

modern data architecture

Databricks

Snowflake

cloud-native data stacks

real-time data pipelines

ML-ready data layers

data governance

leadership

Telco & Media domain

feature stores

Tools

Azure

AWS

GCP

Job description

Role & responsibilities

We are seeking a senior Data Architect to lead the design and execution of an AI and ML -driven, real-time data platform for Telco and Media businesses.

The ideal candidate will work closely with business leaders, domain specialists, and data science teams to build a Telco & Media Data Competency Center, develop monetizable IPs, accelerators, and reference architectures, and take solutions from POC to enterprise-scale production across cloud environments.

This is a business-critical platform role, not a reporting or BI function.

Key Responsibilities

• Collaborate with Telco, OTT, AdTech, and Network domain specialists to define and execute the enterprise Telco & Media Data & AI Platform strategy.


• Design and own real-time and batch data architectures that ingest customer behavior, network telemetry, OTT viewing data, advertising signals, and revenue events into a single governed data backbone.


• Build AI-ready data pipelines that directly power churn prediction, personalization, content recommendations, ad targeting, fraud detection, and network optimization.


• Architect multi-cloud data platforms across Azure, AWS, and GCP with separation of compute for ingestion, transformation, ML training, and real-time inference.


• Establish feature stores, ML datasets, and feedback loops to enable continuous model improvement and business experimentation (A/B testing, personalization, ad yield optimization).


• Build a Telco & Media Data Competency Center with reusable ingestion frameworks, industry-specific data models, accelerators, and reference architectures.


• Develop POCs, pilots, and production-grade accelerators that demonstrate measurable business impact in revenue, retention, and customer experience.


• Implement enterprise-grade data governance, security, lineage, and compliance, including PII protection, regulatory adherence, and data sharing controls for partners.


• Enable data monetization and ecosystem integration with OTT platforms, ad networks, content providers, and device partners.


• Provide architectural leadership and mentoring to data engineers, analytics teams, and ML engineers across the organization.

Required Skills

• Strong expertise in modern data architecture including lakehouse, streaming-first, and AI-ready data platforms.


• Hands‑on experience with Databricks, Snowflake, and cloud-native data stacks for enterprise‑scale workloads.


• Deep understanding of real-time and batch data pipelines, including event‑driven architectures and streaming analytics.


• Proven ability to design ML-ready data layers, including feature stores, training datasets, and inference pipelines.


• Strong knowledge of data modeling for Telco and Media (event‑based, customer 360, content, advertising, and network data).


• Experience implementing data governance, security, privacy, and compliance frameworks in regulated environments.


• Ability to translate business objectives into scalable data and AI architectures.


• Strong leadership and communication skills to drive cross‑functional platform adoption.