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Sopra Steria

IT consulting, digital services, and transformation

Solution Architect Data & AI

Data EngineeringConfirmed live in the last 24 hours
Full-timeAssago, Italy€45k - €55k /yr

About the Job

Requirements

  • Demonstrated sustained experience with hyperscalers, including Google Cloud Platform, Amazon Web Services, or Microsoft Azure.
  • Demonstrated experience with data pipeline, data management, or data analytics solutions, such as Databricks, Google BigQuery, or Amazon Redshift.
  • Strong knowledge of Python, including object-oriented programming and data science libraries such as NumPy, pandas, and Polars.
  • Strong knowledge of Python frameworks relevant to general application development, such as FastAPI and Pydantic, and agentic frameworks such as PydanticAI, Google ADK, and FastMCP.
  • Experience with modern data formats such as Parquet and Apache Iceberg.
  • In-depth knowledge of cloud-native and/or open-source concepts and frameworks for data management and data pipelines.
  • Strong knowledge of Git.
  • Solid DevOps and DevSecOps skills.
  • A degree in a STEM field or Computer Science.
  • Typically, 4–5 years of experience in solution architecture, solution building, or data engineering.
  • Strong written and spoken English.
  • Problem-solving ability.
  • Technical and managerial leadership capabilities.
  • Ability to work in teams and communicate with stakeholders at all levels.
  • Operational autonomy, results orientation, and attention to quality.
  • Flexibility and proactivity.

Responsibilities

  • Design end-to-end, cloud-native architectures for data management across the data lifecycle, including data ingestion, data consolidation, and data exposition.
  • Design, develop, and maintain cloud-native ETL and ELT pipelines.
  • Design and develop API-driven and event-driven solutions for both inbound and outbound flows.
  • Design, develop, and manage machine learning and artificial intelligence pipelines.
  • Design and implement solutions using agentic components.
  • Optimize solution performance, cost, and reliability starting at the design phase.
  • Ensure data quality, security, and data governance across all solutions.
  • Collaborate with cross-functional teams, including data science, business intelligence, information technology, and business teams, and provide technical leadership.
  • Document technical solutions, contribute to knowledge sharing, and help develop a technology culture.

Desired Qualifications

  • Experience with data governance and data catalog solutions, such as Databricks Unity Catalog and OpenMetadata.
  • MLOps skills.
  • Knowledge of hyperscaler artificial intelligence and generative artificial intelligence frameworks, such as Vertex AI, AWS Bedrock, AI Foundry, and Databricks Mosaic AI.
  • Knowledge of data streaming and event-driven architecture frameworks and solutions, such as Kafka and Pub/Sub.
  • Skills in batch and streaming data processing pipelines, such as Apache Beam.
  • Experience integrating with data analytics tools, such as Power BI, Tableau, and Looker.
  • Certifications from major cloud providers, including Google Cloud Platform, Amazon Web Services, or Microsoft Azure, or in data technologies.
  • Strong knowledge of other programming languages, such as Node.js, Go, or C#.

About the Company

Sopra Steria

IT consulting, digital services, and transformation

Sopra Steria provides consulting, digital services and solutions to help large organizations transform their business through technology. Its offerings cover strategy, systems integration, cloud, cyber security, software development, and managed services, designed to be delivered end to end—from assessing needs and designing a plan to implementing and operating IT systems. The company combines deep knowledge of many industries with a collaborative approach to tailor projects to each client and to deliver measurable, sustainable improvements in performance. Differentiators include its European scale (about 51,000 employees across roughly 30 countries), broad scope—from strategy to operation—and emphasis on practical outcomes that help clients stay competitive. The group’s goal is to put digital to work for its clients in a way that creates a positive, more productive future for all stakeholders.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1968

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