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

Staffing Services; Bengaluru; Vor Ort; INR 600.000 - 900.000; Vollzeit

Zusammenfassung

Staffing Services seeks a senior Data Architect to lead the design of an AI- and ML-driven, real-time data platform for Telco and Media. You will work with business leaders, domain experts, and data science teams to build a Telco & Media Data Competency Center and deliver monetizable accelerators and reference architectures.

This business-critical role goes beyond reporting or BI, delivering scalable governance-enabled data solutions across cloud environments and mentoring engineers for

Qualifikationen

• Strong expertise in modern data architecture (lakehouse, streaming-first).
• Hands-on with Databricks and Snowflake for enterprise workloads.
• Experience with real-time and batch data pipelines and streaming analytics.
• Proven ability to design ML-ready data layers including feature stores and training data.
• Data modeling for Telco and Media domains (event-based, 360 views).
• Experience implementing data governance, security, privacy, and compliance in regulated environments.
• Ability to translate business objectives into scalable data and AI architectures.
• Strong leadership and cross-functional collaboration to drive platform adoption.

Aufgaben

• Collaborate with Telco/OTT/AdTech specialists to define the enterprise data and AI platform strategy.
• Design real-time and batch architectures that ingest customer behavior, telemetry, viewing data, ads signals, and revenue events into a single governed backbone.
• Build AI-ready data pipelines powering 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 inference.
• Establish feature stores, ML datasets, and feedback loops for continuous improvement and experimentation.
• Develop POCs, pilots, and production-grade accelerators demonstrating measurable business impact.
• Implement enterprise-grade data governance, security, lineage, and compliance including PII protection.

Kenntnisse

Modern data architecture

Databricks

Snowflake

Cloud-native data stacks

Real-time and batch data pipelines

ML-ready data layers

Telco/Media data modeling

Data governance & compliance

Business objective translation into AI

Leadership & communication

Tools

Databricks

Snowflake

Cloud-native data stacks

Jobbeschreibung

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.