Senior Data Architect

• Translate client business objectives into scalable, secure, and cost-optimized data platform architectures powered by Databricks
• Oversee legacy data warehouse migrations, lakehouse deployments, and enterprise analytics solutions
• Design, build, and productionize end-to-end data ingestion pipelines and transformation workflows using Databricks, Apache Spark, Python, SQL, and cloud-native services
• Assist in scoping professional services engagements through technical solution designs, architectural blueprints, and effort estimations
• Partner with delivery teams, client engineers, project managers, enterprise partners, and internal engineering teams
• Drive on-time, high-quality technical execution
• Troubleshoot complex implementation challenges
• Author architectural documentation and establish best practices supporting long-term client self-sufficiency
• Lead end-to-end design, implementation, and optimization of scalable data platforms
• Drive client engagements across data engineering, advanced analytics, and AI initiatives
• Migrate legacy systems, deploy production-grade lakehouse architectures, and ensure technology adoption

• 8+ years of hands-on experience in data engineering, data architecture, or big data platform development
• Proficient in Python and SQL
• Strong expertise in distributed computing and Apache Spark
• Scala experience preferred
• Proven track record building and deploying modern data platforms using Databricks or comparable technologies
• Experience with at least one major cloud provider: AWS, Azure, or GCP
• Familiarity with CI/CD automation
• Familiarity with DevOps best practices for data operations (DataOps)
• Familiarity with production-grade pipeline management
• Exceptional consulting skills
• Demonstrated ability to lead technical workshops, communicate complex concepts to key stakeholders, and steer architectural decisions
• Hands-on experience deploying machine learning platforms and production MLOps workflows preferred
• Demonstrated success migrating legacy ETL/data warehouse environments to modern cloud data platforms preferred
• Active Databricks certifications preferred
• Previous experience in enterprise professional services, technical consulting, or client-facing solutions engineering preferred

• Open to B2B and permanent contract
• Deep-dive into modern Lakehouse architectures (Medallion model, Delta Lake, PySpark)
• Clear path to upskill in AI/ML engineering
• Total location independence anywhere in Poland
• Flexible working hours
• Work-life balance
• Continuous hands-on experience with emerging Databricks features, multi-cloud platforms (Azure, AWS, GCP), and automated CI/CD data workflows
• Stability, competitive compensation, and long-term project pipelines through a transparent B2B contract structure