Senior Data Engineer - R01557686

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

As a Lead Data Engineer, you will own the end-to-end data engineering lifecycle and provide strategic direction for enterprise data platforms. You will architect robust ETL frameworks using SSIS, Denodo, SQL Server, and Oracle, and drive enterprise-scale scheduling with Control-M. In addition to ensuring data quality, integrity, and scalability, you will establish engineering standards, mentor the data engineering team, and partner with business leaders to deliver innovative, reliable, and high-performing data solutions.

·   Own the end-to-end data engineering lifecycle, from data ingestion to transformation and delivery.

·   Architect and oversee ETL frameworks leveraging SSIS, Denodo, SQL Server, and Oracle.

·   Manage and optimize Control-M job orchestration for large-scale enterprise data pipelines.

·   Establish data engineering standards, governance, and best practices for the team.

·   Partner with business stakeholders to translate requirements into scalable data solutions.

·   Provide technical leadership and mentorship to a team of Data Engineers and Sr. Data Engineers.

·   Drive performance optimization, automation, and innovation within the data engineering function.

·   Support strategic decision-making by ensuring reliable, high-quality data delivery.

·   Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.

·   8+ years of experience in data engineering and ETL development.

·   Proven expertise in SQL Server, Oracle, SSIS, Denodo, and Control-M.

·   Strong track record of leading teams, solution design, and project delivery.

·   Excellent communication, leadership, and stakeholder management skills.

·   Ability to drive continuous improvement in data processes and frameworks.