--- title: 'Senior Software Engineer II - Data Engineering and Platform at LG Ad Solutions' canonical: 'https://feeny.ai/job/senior-software-engineer-ii-data-engineering-and-platform-lg-ad-solutions-ye4ft2vjpa44' type: 'job' last_seen: '2026-09-08' --- # Senior Software Engineer II - Data Engineering and Platform at LG Ad Solutions - **Company:** LG Ad Solutions - **Location:** Bengaluru, India - **Employment:** full-time - **Posted:** 2026-07-29 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.ashbyhq.com/lgads/02fa7152-0c19-4042-ad43-39e49ec3cadd ## Job description ## LG AD SOLUTIONS LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape. ## THE OPPORTUNITY: We are seeking a highly skilled and experienced developer to join our team in the role of Senior Software Engineer II – Data Engineering & Platform. This pivotal role focuses on providing technical vision and leadership for a major business component, managing end-to-end processes that operate at a high scale, processing several petabytes of data daily. The ideal candidate will have a robust background in data engineering, coupled with a proven track record in technical leadership. You will collaborate with cross-functional teams to drive technical innovation and deliver robust, scalable solutions that meet our business needs. ## RESPONSIBILITIES: - Architect and Implement Scalable Data Solutions: Design, develop, and deploy comprehensive data solutions encompassing ETL pipelines, data warehousing, data architecture, data cataloguing, and data delivery mechanisms. Ensure these solutions are scalable, reliable, and maintainable to support evolving business needs. - Lead Data Platform Strategy: Develop and execute the strategic vision for the data platform, ensuring alignment with organizational objectives. Oversee the architecture and management of data systems to support efficient data storage, processing, and utilization. - Collaborate Cross-Functionally: Work closely with product managers, engineering teams, data scientists, and other stakeholders to design and implement effective data integration and hand-off mechanisms. Facilitate seamless data flow and accessibility across various systems and teams. - Optimize Performance and Scalability: Identify and address performance bottlenecks within the data platform. Implement strategies to enhance system performance, scalability, and reliability, ensuring the infrastructure can handle large-scale data processing efficiently. - Oversee Data Governance and Quality: Implement and maintain data governance frameworks to ensure data quality, accuracy, consistency, and security. Establish policies and procedures for data management, ensuring compliance with regulatory requirements and industry best practices. - Mentor and Lead Engineering Teams: Provide technical leadership and mentorship to data engineers and other team members. Foster a culture of innovation, ownership, and continuous learning within the team, guiding them through complex technical challenges and project deliveries. - Conduct Code and Architecture Reviews: Lead code and architecture reviews to maintain high standards of code quality and system design. Provide constructive feedback and ensure adherence to best practices and organizational standards. - Stay Abreast of Industry Trends: Keep up-to-date with emerging technologies, tools, and methodologies in data engineering and platform development. Evaluate and recommend new solutions to enhance the data platform's capabilities and efficiency. ## REQUIREMENTS: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - Over 5 years of software development experience, with at least 2 years in a technical leadership role overseeing data engineering or data platform teams. - Strong proficiency in big data technologies, including Apache Spark/PySpark, Apache Airflow and Apache Kafka. - Experience with programming languages such as Scala and Python for developing robust data pipelines. - In-depth knowledge of both relational and non-relational databases, with the ability to design and optimize complex queries. - Hands-on experience with data visualization tools and techniques to present data insights effectively. - Proficiency in developing and maintaining CI/CD pipelines using tools like Jenkins and GitHub Actions. - Experience with Infrastructure as Code (IaC) tools such as Pulumi and Terraform for managing cloud resources. - Strong experience in writing and maintaining unit, integration, and end-to-end tests to ensure data pipeline reliability and accuracy. - Excellent problem-solving abilities with a keen attention to detail, capable of diagnosing and resolving complex technical issues. - Strong communication skills, with the ability to convey complex technical concepts to diverse audiences. - Proven ability to collaborate cross-functionally with product managers, data scientists, and other engineering teams to deliver cohesive data solutions. - Familiarity with data governance and security practices to ensure compliance and data integrity. Preferred: - Prior experience working with Databricks and AWS cloud services. - Experience with Agile development methodologies and leading Agile teams. - Experience in working with Distributed Graph Databases. LG Ad Solutions provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@lgads.tv to let us know the nature of your request. ## About LG Ad Solutions ## Company Overview - **One-liner**: LG Ad Solutions is an advanced advertising platform that powers connected TV and cross-screen campaigns, helping brands engage audiences through deterministic Smart TV data and AI. - **Entity Type**: Private (total funding: $5.9M from venture rounds; last round 2017) - **Headquarters**: Mountain View, California, United States - **Founded**: 2013 - **Founders**: Not publicly available (leadership team includes CEO Michael Hudes, but founder info is not disclosed) ## Core Business - **Industry**: Advertising Services / Connected TV (CTV) / Cross-screen Advertising - **Target Customers**: B2B – brands, advertisers, agencies, and media buyers - **Mission/Purpose**: “Making Connected TV Ads Smarter” – helping advertisers maximize return on ad spend by delivering unduplicated reach across a fragmented TV landscape. ## Products & Services - **LG Ad Solutions Platform**: An AI-powered advertising platform that offers one-stop planning, activation, and measurement across connected TVs, digital video, and social media. Includes: - **Data**: Deterministic automatic content recognition (ACR) data from LG Smart TVs, combined with first-party and partner data for precise audience targeting. - **Media**: Access to premium LG CTV inventory (tens of millions of smart TVs globally) and cross-device reach. - **Outcomes**: KPI-driven measurement and business outcome reporting to demonstrate ad effectiveness. ## Market Standing - **Valuation**: Not publicly available - **Key Financial Metrics**: Estimated annual revenue of $10M (LinkedIn estimate; not officially confirmed). Total funding: $5.9M (Convertible Note $300K in 2014, Venture Round $5.6M in 2016). - **Notable Investors/Partners**: LG (parent company ecosystem); partnership data from Samsung Ads, Roku, VideoAmp, MediaMint, etc. (talent sources indicate industry relationships). - **Growth Signals**: - Headcount growth: +10.6% YoY (388 employees, up 46 people) - 31 active job postings; job postings increased 210% year-over-year - Operating in 10 countries (U.S., India, U.K., Canada, Australia, Brazil, South Korea, etc.) - Recent hires from Amazon, Roku, Samsung Ads, VideoAmp, Samba TV – strong talent inflow from CTV competitors. ## Competitive Advantages - **Proprietary Data**: Deterministic ACR data from millions of LG Smart TVs provides a unique, privacy-compliant audience signal that cannot be replicated. - **Exclusive CTV Inventory**: Direct access to LG’s smart TV inventory gives advertisers unduplicated reach and a premium ad environment. - **Cross-Screen Unity**: One platform for planning, activation, and measurement across CTV, digital, and social – reducing fragmentation for advertisers. - **Scale & Global Footprint**: Over 200 million LG Smart TVs worldwide (stated on website), with offices in major markets. ## Strategic Focus - **AI & Data Platform**: Invest in Video AI and machine learning to improve audience targeting, in-flight optimization, and attribution. - **Multi-Channel Expansion**: Extend capabilities beyond CTV into digital video and social to become a comprehensive cross-screen hub. - **Advertiser Tools**: Enhance self-service features, outcome-based buying, and measurement to compete with larger ad platforms. ## Why Work Here - **Culture & Values**: Emphasizes “We Are One Team,” transparency, accountability, innovation, and a bias for action. Reviews (3.0/5.0 on LinkedIn) cite average culture (2.7) and career development (2.8), but compensation is rated 3.6. - **Location & Flexibility**: Headquarters in Mountain View, CA; offices in New York, London, Sydney, São Paulo, and others. Hybrid/remote policy not clearly stated. - **Engineering & Data Focus**: Deep roles for data engineers, ML engineers, platform engineers, and data analytics leads. The stack involves big data, ACR, and AI. - **Industry Impact**: Work at the forefront of the CTV revolution, competing/partnering with industry giants (Roku, Samsung Ads, Amazon). Opportunity to shape the future of TV advertising. ## Sources 1. [lgads.tv](https://lgads.tv/) 2. [lgads.tv/careers](https://lgads.tv/careers/) 3. [lgads.tv/company](https://lgads.tv/company/) 4. 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