Data Architect, Common Data Products
KONE Corporation (company site, opens in a new tab)12–15 yrsChennaiOn-siteDirect career pageEst. 30–48 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and optimize finance data architecture on Databricks platform from ingestion (bronze) to business consumption layers (gold).
- Develop, document, and support reusable data products within finance data domain to enable scalable AI/ML and digital use cases.
- Collaborate with cross-functional teams including Product Owners, Data Engineers, and Data Scientists to translate business requirements into data solutions and handle data-related incidents.
Minimum Requirements
- Master's degree in engineering, computer science, management information systems, or related field.
- 12-15+ years of hands-on experience in data architecture, data modeling, data engineering, and enterprise software development.
- Strong domain experience in finance processes; working experience with enterprise systems like SAP ERP FI/CO, FSCM.
- Proficiency with Databricks on AWS and related technologies: multi-hop medallion architecture, Unity Catalog, Airflow, DBT, AWS Glue/EMR/Athena, Spark, Apache Flink/Kafka, Terraform, Gitlab/Github.
Ideal Candidate Profile
- Experienced in managing complex enterprise data landscapes involving raw, semi-structured, and unstructured data supporting multiple business processes.
- Proven ability to bridge finance domain knowledge with advanced data architecture and engineering practices, including data modeling (3NF, dimensional).
- Comfortable working in agile, global, multi-cultural environments with strong communication and dataOps proficiency.