Job Description

Company:

Toorak Capital Partners is an integrated correspondent lending and table funding platform that acquires business purpose residential, multifamily and mixed-use loans throughout the U.S. and the United Kingdom. Headquartered in Tampa, FL., Toorak Capital Partners acquires these loans directly from a network of private lenders on a correspondent basis.

Summary:

• The role of the Lead Data Engineer is to develop, implement, for building high performance, scalable data solution to support Toorak’s Data Strategy
• Lead Data architecture for Toorak Capital.
• Lead efforts to create API framework to use data across customer facing and back office applications.
• Establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI / ML technologies
• Lead sourcing and synthesis of Data Standardization and Semantics discovery efforts turning insights into actionable strategies that will define the priorities for the team and rally stakeholders to the vision
• Lead the data integration and mapping efforts to harmonize data.
• Champion standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Toorak.
• Lead strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects

Required Skills:

• Designing and maintaining the data models, including conceptual, logical, and physical data models
• 5+ years of experience using NoSQL systems like MongoDB, DynamoDB and Relational SQL Database systems (PostgreSQL) and Athena
• 5+ years of experience on Data Pipeline development, ETL and processing of structured and unstructured data
• 5+ years of experience in large scale real-time stream processing using Apache Flink or Apache Spark with messaging infrastructure like Kafka/Pulsar
• Proficiency in using data management tools and platforms, such as data cataloging software, data quality tools), and data governance platforms
• Experience with Big Query, SQL Mesh(or similar SQL-based cloud platform).
• Knowledge of cloud platforms and technologies such as Google Cloud Platform, Amazon Web Services.
• Strong SQL skills.
• Experience with API development and frameworks.
• Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs
• Strong background in Data Science, Machine Learning, NLP, Text processing of large data sets
• Experience in one or more of the following: Dataiku, DataRobot, Databricks, UiPath would be nice to have.
• Using version control systems (e.g., Git) to manage changes to data governance policies, procedures, and documentation
• Ability to rapidly comprehend changes to key business processes and the impact on overall Data framework.
• Flexibility to adjust to multiple demands, shifting priorities, ambiguity, and rapid change.
• Advanced analytical skills.
• High level of organization and attention to detail.
• Self-starter attitude with the ability to work independently.
• Knowledge of legal, compliance, and regulatory issues impacting data.
• Experience in finance preferred.

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