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Specialized senior data architect with niche Databricks skills in a metro location reduces applicant density.
Role requires deep data architecture, Databricks and finance domain expertise, limiting cross-industry transferability.
Explicit 12–15+ years requirement plus mandatory Databricks/AWS/finance domain skills increases screening strictness.
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Design, develop, and optimize finance data architecture and data products on the Databricks platform using a multi-hop medallion data architecture.
Ensure effective data supply chain within Finance Data Domain, including ingestion (bronze) to consumption (gold) layers and cataloguing data products for usability.
Provide hands-on data architecture support, incident handling, and guidance to cross-functional teams including data engineers, product owners, and data scientists.
Master’s degree in engineering, computer science, management information systems or related field.
12-15+ years of professional experience in data architecture, data modeling, data engineering, software engineering in enterprise environments.
Experience with finance domain data and enterprise systems such as SAP ERP FI/CO, FSCM.
Technical expertise in Databricks, AWS (Glue, EMR, Athena), Apache Spark, Kafka, Airflow, DBT, Terraform, and proficiency in SQL and Python; Databricks and AWS certifications are advantageous.
Experienced in handling complex, multi-domain enterprise data landscapes including raw, semi-structured, and unstructured data across various business processes.
Skilled at translating strategic business objectives into data architecture and data products with strong documentation and visualization abilities.
Proven ability to work in global, cross-cultural agile teams with strong collaboration, coaching, and DataOps maturity orientation.