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Tieto

IT services to accelerate business transformation

Data Architect - Data & AI Platforms, Databricks Focus

Data EngineeringConfirmed live in the last 24 hours
Full-timeVarna, BulgariaNo salary listedHybrid

About the Job

Requirements

  • 8-10+ years of experience in Data Engineering, Data Architecture, or similar roles.
  • Strong hands-on expertise in the Databricks platform, Apache Spark, PySpark, data pipelines, and distributed data processing.
  • Proven experience designing and implementing lakehouse architectures using Delta Lake.
  • Strong experience with data modelling in large-scale analytical platforms and batch and streaming data processing.
  • Solid experience with cloud ecosystems; Azure is preferred and AWS is also relevant.
  • Understanding of data governance and security in modern platforms, such as Unity Catalog.
  • Experience working directly with customers in a consulting or advisory capacity.
  • Ability to translate business requirements into scalable, cost-efficient data solutions.
  • Strong communication skills and ability to simplify complex architecture topics.

Responsibilities

  • Lead the design and evolution of lakehouse-based data platforms using Databricks and modern cloud technologies.
  • Define how data is ingested, processed, governed, and consumed across batch, streaming, and AI workloads.
  • Own architecture decisions around Delta Lake, data modelling, data pipelines, and platform scalability.
  • Advise customers on modernizing legacy data landscapes into cloud-native, Databricks-driven platforms.
  • Drive architecture for end-to-end data solutions, from batch and streaming ingestion to analytics, machine learning, and AI use cases.
  • Guide teams in building robust Spark-based pipelines and efficient data processing frameworks.
  • Establish best practices for data engineering using Spark and PySpark, data governance with Unity Catalog, and data lifecycle and quality across the platform.
  • Lead solution workshops, technical deep-dives, and architecture sessions with clients and internal teams.
  • Support pre-sales and solution shaping, especially around Databricks-based architecture and delivery models.
  • Improve platform design by introducing automation, DevOps practices, and reusable architecture patterns.
  • Stay up to date with Databricks innovations, including DLT, Asset Bundles, Genie, and ML/AI features, and bring them into real use cases.

Desired Qualifications

  • Experience with advanced Databricks components, including Delta Live Tables (DLT), Databricks Workflows or Asset Bundles, and Unity Catalog at scale.
  • Experience with real-time streaming architectures, including Kafka and Structured Streaming.
  • Familiarity with Microsoft Fabric, Snowflake, Synapse, or Redshift.
  • Experience building AI-enabled data platforms, including LLM-based solutions, RAG architectures, and data pipelines supporting ML/AI models.
  • Experience with MLOps/DataOps practices and CI/CD pipelines.
  • Knowledge of infrastructure as code, such as Terraform.
  • Industry experience in banking, manufacturing, retail, or healthcare.
  • Relevant Databricks, Azure, or AWS certifications.

About the Company

Tieto

IT services to accelerate business transformation

Tieto provides IT services to help businesses run more efficiently in a multi-sourcing, digital environment. Its offerings include consulting, system integration, cloud services, security, and industry-specific solutions across sectors such as energy, retail, finance, healthcare, and public sector. The company helps clients modernize their operations by combining business and IT transformation, data-driven insights, and managed services to enable digital experiences, compliant governance, and streamlined IT operations. Its approach differentiates itself through its emphasis on service integration and management (SIAM) in multi-vendor landscapes, end-to-end industry-focused solutions, and ongoing support that covers security, cloud orchestration, and transformation programs. Tieto’s goal is to help customers accelerate digitalization, improve efficiency, and realize cost predictability through integrated, secure, and scalable IT services.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Helsinki, Finland
Founded
1968

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