Enterprise Data & AI Platform Architect (f/m/x)

Sii Poland

Lublin

On-site

PLN 320,000 - 520,000

Full time

1 hour ago
Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Centre of internal trainings
Profit sharing
Medical care
Regular integration events and trips
Great Place to Work
Contracts with the biggest brands
Comfortable and well-equipped offices

Job summary

Sii Poland is seeking an experienced Enterprise Data & AI Platform Architect to lead a large-scale healthcare transformation. You will define the technology foundation for enterprise data, analytics, automation, and AI, guiding cross-functional teams and aligning business objectives with technology strategy.

You will drive the long-term architecture roadmap, enable scalable data platform capabilities, and ensure best practices in governance, cost management, and secure operations across global

Qualifications

  • 10+ years of experience in data platforms, data engineering, or enterprise data architecture with leadership in large-scale platform initiatives
  • Hands-on with Databricks, Azure Data Services and lakehouse architectures
  • Experience designing and operating cloud-native solutions across Azure and AWS, including IaC, automation, CI/CD, and multi-region deployments
  • Experience delivering AI/Generative AI platforms including MLOps, LLMOps, semantic layers, AI analytics, RAG architectures, and model serving
  • Knowledge of FinOps, cost optimization, capacity planning, workload management and operational automation
  • Experience with enterprise data ecosystems including Data Governance, Data Cataloging, and MDM in regulated environments
  • Excellent stakeholder management and fluent English

Responsibilities

  • Define and execute long-term architecture strategy and roadmap for data and AI platforms
  • Lead platform governance, technology selection and strategic decision-making
  • Enable advanced analytics and AI adoption via scalable, secure platform capabilities
  • Drive platform reliability, automation and service delivery across global environments
  • Establish cost management frameworks and optimization initiatives for cloud-based services
  • Build and lead international teams responsible for platform architecture, engineering and operations

Skills

Fluent English
Stakeholder management
Communication

Tools

Databricks
Azure Data Services
Lakehouse architecture
Cloud platforms (Azure/AWS)
IaC / automation frameworks
MLOps / LLMOps
CI/CD
Vector search

Job description

We are looking for an experienced Enterprise Data & AI Platform Architect to join a large-scale transformation program within the healthcare sector. In this strategic leadership role, you will be responsible for defining and evolving the technology foundation that supports enterprise-wide data, analytics, automation, and artificial intelligence initiatives. Working in a complex and highly regulated environment, you will drive the design of scalable platform capabilities while leading cross-functional teams and ensuring alignment between business objectives and technology strategy.

Your tasks
  • Defining and executing the long-term architecture strategy and roadmap for data and AI platforms
  • Leading platform governance, technology selection processes, and strategic decision-making related to enterprise solutions
  • Enabling advanced analytics and AI adoption through scalable, reusable, and secure platform capabilities
  • Driving platform reliability, operational excellence, automation, and service delivery across global environments
  • Establishing cost management frameworks, budgeting practices, and optimization initiatives for cloud-based services
  • Building and leading international teams responsible for platform architecture, engineering, operations, and continuous improvement
Requirements
  • Minimum 10 years of experience in data platforms, data engineering, or enterprise data architecture, including at least 5 years in an Architect role leading technical teams and large-scale platform initiatives
  • Strong hands-on expertise with Databricks, Azure Data Services, and enterprise-scale Lakehouse architectures, including the design of scalable and governed data platforms
  • Proven experience designing and operating cloud-native solutions across Microsoft Azure and AWS, including Infrastructure as Code, automation frameworks, CI/CD practices, and multi-region deployments
  • Experience delivering AI and Generative AI platforms, including MLOps, LLMOps, semantic layers, AI-driven analytics, conversational BI, RAG architectures, vector search, model serving, and intelligent agent-based solutions
  • Strong knowledge of cloud FinOps, platform governance, cost optimization strategies, capacity planning, showback/chargeback models, workload management, and operational automation
  • Previous work with enterprise data ecosystems, including Data Governance, Data Cataloging, Master Data Management (MDM), enterprise integration platforms, RPA solutions, and compliance requirements within regulated environments
  • Excellent stakeholder management and communication skills, with fluent spoken and written English

Job no. JOB-9YYVT
Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

Benefits For You
  • Great Place to Work
  • Solid financial situation
  • Contracts with the biggest brands
  • Centre of internal trainings
  • Many experts you can learn from
  • Open and accessible management team
  • Profit sharing
  • Passion Sponsorship program
  • Regular integration events and trips
  • Comfortable and well-equipped offices
  • MySii app
  • Medical care
Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Enterprise Data & AI Platform Architect (f/m/x)
Enterprise Data & AI Platform Architect (f/m/x)

Sii Poland • Województwo pomorskie

On-site
PLN 320,000 - 520,000
Great Place to Work
Solid financial situation
Contracts with big brands
+6
Enterprise Data & AI Platform Architect (f/m/x)
Enterprise Data & AI Platform Architect (f/m/x)

Sii Poland • Wrocław

On-site
PLN 360,000 - 480,000
Great Place to Work
Solid financial situation
Profits sharing
+2
Enterprise Data & AI Platform Architect (f/m/x)
Enterprise Data & AI Platform Architect (f/m/x)

Sii Poland • Szczecin

On-site
PLN 320,000 - 520,000
Great Place to Work
Centre of internal trainings
Profit sharing
+2
Senior Data Architecture Leader (f/m/x)
Senior Data Architecture Leader (f/m/x)

Sii Poland • Szczecin

On-site
PLN 150,000 - 230,000
Great Place to Work
Solid financial situation
Contracts with the biggest brands
+9
Senior Data Architecture Leader (f/m/x)
Senior Data Architecture Leader (f/m/x)

Sii Poland • Województwo pomorskie

On-site
PLN 180,000 - 300,000
Great Place to Work
Solid financial situation
Contracts with the biggest brands
+9
Senior Data Architecture Leader (f/m/x)
Senior Data Architecture Leader (f/m/x)

Sii Poland • Kraków

On-site
PLN 200,000 - 320,000
Great Place to Work
Solid financial situation
Contracts with the biggest brands
+9
Senior Data Architecture Leader (f/m/x)
Senior Data Architecture Leader (f/m/x)

Sii Poland • Poznań

On-site
PLN 180,000 - 300,000
Great Place to Work
Centre of internal trainings
Profit sharing
+3
Senior BI Architect (f/m/x)
Senior BI Architect (f/m/x)

Sii Poland • Rzeszów

On-site
PLN 300,000 - 420,000
Great Place to Work
Solid financial situation
Contracts with the biggest brands
+9
Senior Data Architecture Leader (f/m/x)
Senior Data Architecture Leader (f/m/x)

Sii Poland • Toruń

On-site
PLN 260,000 - 420,000
Great Place to Work
Solid financial situation
Centre of internal trainings
+2
Senior BI Architect (f/m/x)
Senior BI Architect (f/m/x)

Sii Poland • Wrocław

On-site
PLN 180,000 - 280,000
Great Place to Work
Centre of internal trainings
Profit sharing
+4