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Senior, specialized Databricks role reduces applicant density despite corporate brand and metro location.
High because role demands finance domain knowledge, SAP integrations, and specific Databricks/AWS platform skills.
High due to explicit 12-15 years requirement plus mandatory Databricks, AWS, and finance domain expertise.
Design and optimize data architecture for Finance Data Domain on Databricks platform, from ingestion (bronze) to business consumption layers (gold).
Develop and maintain finance data products supporting multiple internal consumers and use cases, ensuring data quality and documentation.
Provide hands-on data architecture support, guide stakeholders on data-related issues, and drive data innovation aligned with KONE's strategic objectives.
12-15+ years professional experience in data architecture, data modeling, data engineering, or related fields.
Master’s degree in engineering, computer science, MIS, or related discipline.
Experience with finance domain data including SAP ERP FI/CO, FSCM and complex enterprise data landscapes (batch, real-time, streaming).
Technical expertise in Databricks (multi-hop medallion architecture), AWS tools (Glue, EMR, Athena), Spark, Python, SQL, and software development lifecycle with DevSecOps/DataOps.
Strong domain knowledge in finance processes and related data architecture, enabling translation of business to technical data requirements.
Experienced in agile development and global team collaboration, able to self-organize and provide hands-on support to data engineering teams.
Skilled in designing scalable, reusable data products and proactive in improving data architectures and DataOps practices.