Position SummaryTV 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 2016-25 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 ResponsibilitiesKEY RESPONSIBILITIES<ul><li>Create blueprints for data systems, including data models, schemas, and workflows, that serve as a roadmap for data engineers</li><li>Define and enforce data standards, policies, and best practices for data accuracy, integrity, and security across the organization.</li><li>Oversee the architecture, security, governance, and optimization of the data lake, ensuring data quality, accessibility, and compliance.</li><li>Develop and manage data pipelines that leverage APIs to extract, transform, and load data from internal and external sources into the data lake.</li><li>Continually evaluate effectiveness of existing workflows, systems, and integration points versus latest technologies</li><li>Bridge the gap between business stakeholders and data teams by translating complex business requirements into scalable technical data solutions.</li><li>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.</li><li>Evaluate and recommend appropriate technologies, platforms, and tools, including cloud services (mainly AWS), big data platforms (Hadoop, Spark), and databases.</li><li>Drive data quality initiatives by identifying systemic issues and implementing proactive solutions to improve data reliability and usability.</li><li>Automate the deployment and management of data pipelines and related resources using Terraform, ensuring efficient and consistent deployments across environments</li></ul>Skills and QualificationsQUALIFICATIONS<ul><li>Bachelors Degree required. Degree in Engineering or Computer Science preferred</li><li>10+ years of experience in roles like data engineering, data architecture which support a large-scale data and services</li><li>Expertise in major cloud platforms such as AWS, Azure, and Google Cloud, along with experience in large-scale data solutions</li><li>Deep understanding of data warehousing, ETL/ELT processes, SQL, and PySpark, Python, AWS services like Glue, Athena, Lambda, S3</li><li>Strong understanding and practical experience with data modeling, creating, and managing comprehensive data infrastructure.</li><li>Experience establishing and enforcing frameworks for data governance, compliance, security, and quality standards across enterprise systems.</li><li>Optional qualifications include experience with building data pipelines for ML models, familiarity with ML frameworks like TensorFlow or PyTorch, and knowledge of MLOps practices.</li><li>Experience in writing, maintaining, and troubleshooting Terraform configurations and modules for cloud platforms</li><li>Experience collaborating with a globally distributed team</li></ul>Compensation 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 <a href="https://account.samsung.com/membership/pp" target="_blank">Samsung membership</a> 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 <a href="http://ghrp.europe-samsung.com/PrivacyNoticeforEU.html" target="_blank">here</a>.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. 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