Senior Director, Data Engineer

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.