About the job
LG Ad Solutions
At LG Ad Solutions, we are at the forefront of connected TV (CTV) and cross-screen advertising. Our mission is to provide cutting-edge advertising solutions that effortlessly integrate with the dynamic digital media landscape of today.
The Opportunity:
We are on the lookout for a talented and experienced developer to step into the role of Senior Software Engineer II – Data Engineering & Platform. This critical position entails offering technical vision and leadership for a significant business component, managing end-to-end processes that handle massive data volumes, processing multiple petabytes of data daily. The ideal candidate will possess a strong background in data engineering, combined with a proven history of technical leadership. You will collaborate with cross-functional teams to spearhead technical innovation and deliver robust, scalable solutions tailored to our business requirements.
Responsibilities:
Architect and Implement Scalable Data Solutions: Design, develop, and deploy comprehensive data solutions that include ETL pipelines, data warehousing, data architecture, data cataloging, and data delivery systems. Ensure these solutions are scalable, reliable, and maintainable to adapt to evolving business needs.
Lead Data Platform Strategy: Formulate and execute the strategic vision for the data platform, ensuring alignment with organizational goals. Manage the architecture and administration of data systems to facilitate efficient data storage, processing, and utilization.
Collaborate Cross-Functionally: Partner closely with product managers, engineering teams, data scientists, and other stakeholders to design and implement effective data integration and hand-off processes. Enable seamless data flow and accessibility across various systems and teams.
Optimize Performance and Scalability: Identify and resolve performance bottlenecks within the data platform. Implement strategies to improve system performance, scalability, and reliability, ensuring the infrastructure can efficiently manage large-scale data processing.
Oversee Data Governance and Quality: Establish and maintain data governance frameworks to guarantee data quality, accuracy, consistency, and security. Develop policies and procedures for data management, ensuring compliance with regulatory standards and industry best practices.
Mentor and Lead Engineering Teams: Provide technical guidance and mentorship to engineering teams, fostering a culture of innovation and excellence.

