Data Architect - Data & AI Platforms (Databricks Focus) - Tieto Tech Consulting (m/f/d)
Core
Design and evolve lakehouse-based data platforms using Databricks and modern cloud technologies to support batch, streaming, and AI workloads for enterprise clients.
Role type
Senior Data Architect (Databricks & Cloud Platforms)
Builds
Cloud-native data platforms, end-to-end data solutions (ingestion to analytics/ML), and scalable Spark-based pipelines.
Domain
Data Engineering, Cloud Platforms, AI/ML Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Databricks platform expertise, Apache Spark/PySpark, lakehouse architectures (Delta Lake), data modelling, batch and streaming data processing, cloud ecosystems (Azure/AWS), data governance (Unity Catalog), customer advisory, solution architecture, automation/DevOps.
Preferred skills
Delta Live Tables (DLT), Databricks Workflows/Asset Bundles, real-time streaming (Kafka/Structured Streaming), Microsoft Fabric, Snowflake, Synapse/Redshift, LLM-based solutions, RAG architectures, MLOps/DataOps, Infrastructure as Code (Terraform), banking/healthcare/retail/manufacturing industry experience, Databricks/Azure/AWS certifications.
Technologies
Databricks, Apache Spark, PySpark, Delta Lake, Unity Catalog, Azure, AWS, Kafka, Terraform, Microsoft Fabric, Snowflake, Synapse, Redshift
Responsibilities
Lead design of lakehouse data platforms; define data ingestion, processing, and governance strategies; own architecture decisions for Delta Lake and platform scalability; act as trusted advisor for legacy-to-cloud modernization; drive end-to-end data solution architecture; guide teams in building robust Spark pipelines; establish best practices for data engineering and governance; lead solution workshops and technical deep-dives; support pre-sales and solution shaping; continuously improve platform design with automation and reusable patterns.
Seniority
Senior, hands-on IC with strategic advisory responsibilities