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Trimont · 9 hours ago

Senior Director, Data Engineer

Atlanta, GA

Full-time

Onsite

Senior Level, Lead/Staff

9+ years exp

Trimont is a specialized global commercial real estate loan services provider, seeking a Senior Director, Data Engineer. The role involves designing and maintaining scalable data pipelines and infrastructure while collaborating with cross-functional teams to ensure data system performance and reliability.

Commercial Real EstateCreditLending

Responsibilities

Design, implement, and optimize data pipelines for large-scale structured and unstructured data

Develop robust Extract Transform Load (ETL) processes for integrating diverse data sources

Ensure data accuracy through validation and quality checks

Design and maintain data models, schemas, and database structures

Optimize storage and retrieval for performance and scalability

Evaluate and implement relational, NoSQL, data lake, and cloud storage solutions

Build and maintain integrations with internal/external data sources and APIs

Develop RESTful Application Programming Interface (API) and web services for data access

Ensure system compatibility and interoperability

Configure and manage databases, warehouses, lakes, and distributed frameworks

Monitor performance, troubleshoot, and optimize for reliability and efficiency

Implement data security and access controls

Work with stakeholders to understand requirements and deliver solutions

Document designs, workflows, and best practices for knowledge sharing

Provide technical guidance and support to team members

Qualification

Data engineeringETL processesCloud platformsBig data technologiesDatabase systemsProgramming languagesProblem-solvingCommunication skillsCollaboration skillsAttention to detail

Required

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

9+ years experience in data engineering, software development, or related roles

9+ years in programming languages commonly used in data engineering (e.g., Python, Java, Store procs, Structured Query Language (SQL), Scala, etc.)

Strong knowledge of database systems, data modeling techniques, and SQL proficiency

Proficiency with ETL tools commonly used in data engineering (e.g., Sequel Server Information Systems (SSIS), Snowflake, Databricks, Azure Data Factory, Store procs)

Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka, etc.)

Experience with cloud platforms and services (e.g., Amazon Web Services (AWS), Azure, Google Cloud Platform, etc.)

Excellent problem-solving skills and attention to detail

Effective communication and collaboration skills in a team-oriented environment

Ability to adapt to evolving technologies and business requirements