Data & Integration Architect

Swisscom; Lisboa; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid work model

25 days annual leave

Meal allowance €10.40/day

Multicare private health insurance

Personal accident and travel insurance

Home‑office allowance €22/month + €300

Communication allowance €20/month + €/

Job summary

Swisscom is expanding its Lisbon footprint and seeking a Data & Integration Architect to own the integration layer of the AI tooling suite. You will design interfaces, build source adapters, and ensure governance across operational data sources for reliable AI-enabled workloads.

You will collaborate with product owners, network SMEs and data owners, contributing to the MVP and pilot while maintaining clear documentation and strong ownership of data contracts.

Qualifications

• Strong experience in data engineering, systems integration or integration architecture.
• Hands-on API development and integration experience in Python or a comparable language.
• Experience with REST/JSON, authentication, secrets, rate limits, error handling and observability.
• Experience designing schemas, data contracts, validation and normalization patterns.
• Practical cloud experience, preferably AWS.

Responsibilities

• Define the integration strategy and set reusable patterns for onboarded data sources.
• Design APIs, adapters, data contracts, authentication flows and failure‑handling patterns.
• Build retrieval tools and agent integrations while preserving provenance and meaning.
• Develop data‑access components using APIs, events, files or streams with schemas, validation, caching, and data quality monitoring.
• Represent timestamps, regions, services, incidents, KPIs and metadata consistently for cross‑source correlation.
• Expose operational capabilities as safe, well‑defined tools and support test scenarios.
• Maintain technical documentation and Architecture Decision Records, including KPI interpretation rules.
• Pair with external data and integration specialists during the MVP and pilot.

Skills

Python

JSON

REST APIs

AWS

LLMs

Job description

WHO WE ARE?

Being the daughter company of Swisscom - leading telecommunications company and one of the most sustainable and innovative companies in Switzerland - we share the same values, vision and goals.

As a trustworthy and efficient Swisscom IT service partner, we create valuable customer experiences. We work in strong collaboration with our partners in Switzerland and attract and retain high performers.

We’re expanding our footprint in Lisbon and are looking for a Data & Integration Architect to join our growing AI team.

We invite driven professionals to join us, grow with us, and help shape the future.

The team / project

The Mobile Technology & Voice Value Stream is building an AI tooling suite that automates and supports the operation of Swisscom's mobile and voice network. We are a small, collaborative pod working closely with product owners and business stakeholders in Switzerland, network SMEs and external specialists, and together we’re building an internal AI delivery capability for Swisscom Operations.

As Data & Integration Architect, you own the integration layer of the AI tooling suite and turn operational telecommunications data into reliable, governed and AI-ready capabilities. In this hands‑on role, you design integration patterns, build source adapters and retrieval tools, and define data contracts that connect operational platforms, data products, telemetry sources and external services to the agent ecosystem.

The initial integration scope may include operational network‑performance platforms, active testing systems, customer‑experience signals, crowd‑sourced measurements, incident context and future Swisscom data products.

What you'll do

• Define the integration strategy: Set reusable patterns for operational data sources and reduce the effort needed to onboard future platforms.
• Design the interfaces: Design APIs, adapters, data contracts, authentication flows and failure‑handling patterns, so agents continue safely when individual sources fail.
• Build retrieval tools: Build and maintain source‑specific retrieval tools and agent integrations, normalising heterogeneous responses while preserving provenance and meaning.
• Engineer reliable data access: Develop data‑access components using APIs, events, files or streams, with schemas, validation, caching, freshness controls, rate‑limit handling and data‑quality monitoring.
• Enable incident investigations: Represent timestamps, regions, services, incidents, KPIs and confidence metadata consistently, and support time‑window and cross‑source correlation.
• Build trust in the data: Work with data owners on ownership, access, classification and retention, document lineage and limitations, and make sure every agent claim traces back to its source.
• Make data agent‑ready: Expose operational capabilities as safe, well‑defined tools, optimise retrieval for cited responses, and contribute to evaluation datasets and test scenarios.
• Own the documentation: Maintain technical documentation and Architecture Decision Records, capture KPI interpretation rules with network SMEs, and support incidents involving upstream sources.
• Grow internal know‑how: Pair with external data and integration specialists during the MVP and pilot.

Job requirements

Data Engineering & Integration

• Strong experience in data engineering, systems integration or integration architecture.
• Hands‑on API development and integration experience in Python or a comparable language.
• Experience with REST/JSON, authentication, secrets, rate limits, error handling and observability.

Data Engineering

• Experience designing schemas, data contracts, validation and normalization patterns.

Cloud

• Practical cloud experience, preferably AWS.

Soft Skills

• Strong communication skills in English (written and spoken).
• Curiosity and the ability to investigate unfamiliar platforms and safely expose their capabilities to other systems.
• Collaborative approach when working with network SMEs, data owners and platform owners.
• Strong ownership mindset and care for clear, maintainable documentation.
• Willingness to share knowledge so integrations stay operable without long‑term external dependency.

Nice to have

• Telecommunications, OSS/BSS, network telemetry, observability or incident‑management experience.
• ODP, data products, streaming technologies or operational time‑series data.
• Building tools or retrieval interfaces for LLM and agent applications.
• Understanding of data lineage, governance, privacy and enterprise security controls.
• nGeniusONE, SIGOS, customer‑experience data or similar operational platforms.

Perks

What we offer

• Hybrid and flexible working: 2 days in the office, flexible hours between 6:00 and 20:00
• 25 days of annual leave (3 more than the legal minimum)
• Meal allowance of €10.40 per day
• Multicare private health insurance, with the option to add dependents at an attractive cost
• Personal accident and business travel insurance
• Home‑office allowance of €22 per month, plus a €300 home‑office equipment budget every 5 years
• Communication allowance of €20 per month, plus an €800 mobile phone budget every 3 years
• Mobility allowance of €480 per year for your commute
• Laptop and standard equipment kit
• €1,000 referral bonus for every successful hire you refer 
• Among other benefits 

Skills

Required: Python, JSON, REST APIs, Amazon Web Services, Large Language Models (LLMs)