Bachelor’s or Master’s in Computer Science, Engineering, or related field, with 6+ years in data integration, platform engineering, or analytics., Proven Python development skills for data integrations and orchestration, plus hands-on experience with hub-and-spoke architectures and Infrastructure as Code (IaC)., Deep knowledge of Snowflake, Databricks, Azure; strong skills in dbt for modelling, Dagster for orchestration, and Azure DevOps for CI/CD and DataOps., Expertise in data warehousing, ETL/ELT, cloud-native engineering, and integrating business systems (ERP, CRM, CPQ) as well as unstructured data (images, text, graphs) into cloud platforms., Experience designing Data Lakes integrating Snowflake, Databricks, and Azure; strong understanding of Data Contracts and delivering Data Products., Familiarity with ML/AI Ops platforms, ability to enable AI engineers, and develop monitoring solutions for proactive alerts on data workflows., Skilled in stakeholder management, balancing short-term deliverables with long-term strategy, and applying FinOps practices for cost analysis and visibility., Certifications in Azure, Snowflake, or Databricks., Familiarity with big data technologies (Spark, Kafka, Delta Lake)., Experience with data governance, security, and compliance frameworks.

sharing the costs of sports activities, private medical care, life insurance, remote work opportunities, integration events, employee referral program