We are looking for a Databricks-focused Data Architect to design and implement modern data platforms for Financial Services clients. This role centers on data modeling, ingestion architecture, governance, and building scalable lakehouse solutions that meet regulatory and performance requirements.
Key Responsibilities
* Architect cloud-native data platforms using Databricks Lakehouse, Delta Lake, Unity Catalog, and Spark.
* Design data ingestion, transformation, and modeling frameworks for batch and streaming workloads.
* Define data governance, lineage, security, and compliance standards for regulated Financial Services environments.
* Create reference architectures, best practices, and reusable patterns for data engineering teams.
* Work with client stakeholders to translate business and regulatory needs into robust data architecture designs.
Qualifications
* 5+ years in data architecture or data engineering, with strong SQL, Python, and Spark expertise.
* Deep hands-on experience with Databricks, data modeling, and lakehouse design.
* Strong understanding of cloud data services (Azure/AWS/GCP).
* Familiarity with Financial Services domain concepts: risk, compliance, fraud, AML/KYC, regulatory reporting.