Cloud Data Architect with AI

JobCubby; Kraków; Hybrid; PLN 250,000 - 380,000; Full time

Benefits offered by this job

Medicover private medical care

Life insurance

Training & certification access (GenAI

Company learning platform & languages

Employee communities

Job summary

Capgemini Polska is seeking an experienced Senior Data Architect/Technical Leader to shape data platforms and AI-ready architectures. You will work on cutting-edge cloud and big data projects across AWS, Azure, and GCP, delivering end-to-end data solutions with GenAI workloads.

You will design Data Lake/Streaming architectures, guide data modeling, and lead in building AI-enabled data platforms, ensuring standards and best practices across the SDLC.

Qualifications

• Experience as an Architect/Technical Leader in Cloud or Big Data projects, covering data processing and visualization.
• Practical knowledge of AWS, Azure or GCP in Storage, Compute, Networking and DevOps on commercial projects.
• Familiarity with Cloud Dataflow, BigQuery, Dataproc, Cloud KMS, Pub/Sub, GKE, Kafka, Spark, Snowflake, Data Lake Gen2, Event Hub, Data Factory, Databricks, Azure DWH, Azure Function, Power BI, Terraform, Redshift, Glue, Athena, Kinesis, Lambda.
• At least basic command of Python, Scala, Java, or Bash.
• Experience or strong interest in AI/ML solutions including Generative AI (LLMs, vector DBs, RAG).

Responsibilities

• Creating architecture for systems processing large and unstructured datasets (Data Lake & Streaming) including AI-ready data platforms.
• Designing modern cloud-based DWH/Big Data solutions in CD/CI environments.
• Integrating AI/ML and Generative AI solutions into cloud data platforms.
• Data model design and data flow documentation.
• Supporting the team as a Technical Leader and ensuring compliance with standards and best practices.

Skills

Architect / Tech Leader

Cloud platforms

Big Data

Programming basics (Python/Scala/Java)

AI/ML & Generative AI

Data visualization (Power BI)

Tools

Cloud Dataflow

BigQuery

Dataproc

Kafka

Spark

Snowflake

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

YOUR TEAM

You will be a part of our Insights & Data practice, and member of a team that delivers cutting-edge data centric solutions. Most of our projects are Cloud & Big Data engineering. We develop solutions to process large, also unstructured, datasets, with custom build Cloud Data services on AWS, Azure or GCP.

We are responsible for the full SDLC of the solution: apart from using data processing tools (e.g. ETL), we code a lot in Python, Scala or Java and use DevOps tools and best practices. The data is either exposed to downstream systems via API, outbound interfaces or visualized on reports and dashboards.

Within our AI CoE we deliver Data Science, Machine Learning and Generative AI projects with focus on NLP, Anomaly Detection, Computer Vision and Large Language Models (LLMs). We actively leverage modern AI solutions to enhance data platforms and support advanced analytics use cases.

YOUR TASKS

• Creating architecture for systems processing large and unstructured datasets (Data Lake Architecture, Streaming Architecture), including AI-ready data platforms supporting machine learning and Generative AI workloads;
• Designing modern DWH / Big Data solutions in the cloud and in the Continuous Delivery / Continuous Integration environment;
• Designing and integrating AI/ML and Generative AI solutions (e.g. LLM-based use cases) into cloud-based data platforms;
• Data model design, data flow documentation;
• Supporting the Team as a Technical Leader, ensuring system compliance with standards and best practices in software development.

YOUR PROFILE

• Good experience as an Architect and/or Technical Leader in Cloud or Big Data projects in the field of data processing and visualization (in different phases of SDLC);
• Practical knowledge of one of the following clouds: AWS, Azure, GCP in the area of Storage, Compute (+Serverless), Networking and DevOps supported by work on commercial projects;
• Familiarity with at least few of the following technologies: Cloud Dataflow, BigQuery, Cloud Dataproc, Cloud KMS, Pub/Sub, Google Kubernetes Engine, Apache Beam, Kafka, Spark, Snowflake, Data Lake Gen2, Event Hub, Data Factory, Databricks, Azure DWH, Azure Function, Power BI, Terraform, Redshift, Glue, Athena, Kinesis, Lambda;
• At least basic command of one of the programming languages: Python, Scala, Java, bash;
• Practical experience or strong interest in working with AI/ML solutions, including Generative AI (e.g. LLMs, prompt engineering, vector databases, RAG architectures);

What You\'ll love about working here

• Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card.
• Well-being culture: medical care with Medicover, private life insurance, and sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.
• Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI.

Get to know us

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.

Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.