Senior Director, Data Engineer

Description Overview: Founded in 1988, Trimont ( www.trimont.com ) is a specialized global commercial real estate loan services provider and partner for lenders and investors seeking the infrastructure and capabilities needed to help them scale their business and make informed, effective decisions related to the deployment, management and administration of commercial real estate secured credit. As the largest master servicer of commercial real estate loans in the United States, Trimont manages securitizations with meticulous oversight and coordination—protecting cash flows, mitigating risk, and ensuring portfolio performance. We do this with a team of 1100+ extraordinary team members who serve a global client base from offices in Atlanta (headquarters), Bengaluru, Charlotte, Dallas, Hyderabad, Kansas City, London, New York and Sydney. We empower our people with advanced technology, industry-leading knowledge, and a culture centered on our core values. This approach enables our teams to deliver exceptional client service, build lasting relationships and take pride in the high-quality work they perform. Trimont is an innovative firm where visionary professionals come to learn, grow, and thrive with colleagues driven by curiosity and collaboration. Learn: We believe ongoing learning is critical and are focused on providing a work environment where all team members can take ownership of their careers. Grow: We work alongside the largest institutional lenders in the world, overseeing the most significant projects in the industry. This unique opportunity allows us to broaden our skillset and develop our abilities by tackling some of the industry's most challenging and exciting endeavors. Thrive: Our firm is a place where ethics and excellence meet to create an experience that matches our capabilities. There are no limits to what we as team members and as an organization, can achieve together. Where people, purpose, and progress come together every day. Job Summary: As a Senior Director, Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions. 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. Support operations and production data eco system as a primary point of contact. 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. Required Qualifications: 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. Trimont is an equal opportunity employer, and we’re proud to support and celebrate diversity in the workplace. If you have a disability and need an accommodation or assistance with the application process and/or using our website, please contact us. We are proud to maintain a drug-free policy, ensuring that our community is a secure and productive space for all our team members.