🚀 Data Engineering Technical Lead, Samsung TV Plus

**Position Summary**TV Plus Data Engineering Technical Lead DESCRIPTION: The Samsung global services team is responsible for driving Smart TV and mobile services businesses by building intelligent, integrated, cross-platform services that delight and entertain users. Samsung TV Plus is Samsung’s direct-to-consumer OTT video service featuring ad-supported linear channels and ad-supported VOD. In the US, TV Plus launched in April 2018 and is currently available on model Samsung Smart TVs and recent Galaxy mobile devices. As a data engineer, you will design, build, and maintain the infrastructure and systems that collect, process, and store large-scale data related to content, users, and advertising. The role is crucial for enabling data-driven decisions that shape product development, content strategy, and user experience.**Role and Responsibilities****KEY RESPONSIBILITIES*** Create blueprints for data systems, including data models, schemas, and workflows, that serve as a roadmap for data engineers* Define and enforce data standards, policies, and best practices for data accuracy, integrity, and security across the organization.* Oversee the architecture, security, governance, and optimization of the data lake, ensuring data quality, accessibility, and compliance.* Develop and manage data pipelines that leverage APIs to extract, transform, and load data from internal and external sources into the data lake.* Continually evaluate effectiveness of existing workflows, systems, and integration points versus latest technologies* Bridge the gap between business stakeholders and data teams by translating complex business requirements into scalable technical data solutions.* Design and implement robust data integration and transformation processes to ensure seamless, governed large volumes of data flows across operational and analytical systems, ensuring data availability and reliability.* Evaluate and recommend appropriate technologies, platforms, and tools, including cloud services (mainly AWS), big data platforms (Hadoop, Spark), and databases.* Drive data quality initiatives by identifying systemic issues and implementing proactive solutions to improve data reliability and usability.* Automate the deployment and management of data pipelines and related resources using Terraform, ensuring efficient and consistent deployments across environments**Skills and Qualifications****QUALIFICATIONS*** Bachelor's Degree required. Degree in Engineering or Computer Science preferred* 10+ years of experience in roles like data engineering, data architecture which support a large-scale data and services* Expertise in major cloud platforms such as AWS, Azure, and Google Cloud, along with experience in large-scale data solutions* Deep understanding of data warehousing, ETL/ELT processes, SQL, and PySpark, Python, AWS services like Glue, Athena, Lambda, S3* Strong understanding and practical experience with data modeling, creating, and managing comprehensive data infrastructure.* Experience establishing and enforcing frameworks for data governance, compliance, security, and quality standards across enterprise systems.* Optional qualifications include experience with building data pipelines for ML models, familiarity with ML frameworks like TensorFlow or PyTorch, and knowledge of MLOps practices.* Experience in writing, maintaining, and troubleshooting Terraform configurations and modules for cloud platforms* Experience collaborating with a globally distributed teamCompensation for this role, for candidates based in Mountain View, CA is expected to be between $195,000 ~ $240,000 or based in Los Angeles, CA is expected to be between $180,000 ~ $220,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.#LI-DNI\* Please visit to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click .At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.\* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.**Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process**Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team ) or SEA\_Accommodations\ for assistance. 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