Overview
The Data Architect role is essential in designing and governing an enterprise data platform for a PE backed financial services business. This position will collaborate with cross-functional teams to ensure regulatory and operational reporting requirements are met through innovative data architecture solutions, particularly focusing on data migration, lineage, and reconciliation across lending and capital markets operations.
Responsibilities
- Design and implement a modern data platform based on a Data Lakehouse architecture.
- Develop logical and physical data models for operational and analytical workloads.
- Architect data solutions supporting regulatory reporting obligations.
- Lead migration architecture for legacy-to-target platform transitions.
- Design streaming data ingestion patterns using Kafka.
- Establish metadata management and data governance standards.
- Ensure scalability, security, and governance across all data domains.
- Support analytical and operational reporting requirements.
Requirements
- Expertise in Databricks or equivalent data platform.
- Strong knowledge of Azure Data Lake Storage (ADLS).
- Advanced skills in SQL development and optimisation.
- Proficient in data modelling (logical, physical, dimensional).
- Experience with Kafka streaming architecture.
- Familiarity with Python (Pandas, PySpark).
- Knowledge of data lineage and governance tooling.
- Preferred experience in lending and capital markets operations.