We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. Engineer intelligent systems and data-driven solutions that enhance personalization and entertainment as part of in-cabin experience Combine research, experimentation, and collaboration across multiple engineering disciplines Advance analytics and machine learning capabilities that power next generation automotive solutions As a Data Engineer on the Innovation Team, you will design and build an end-to-end audio data collection and consumption platform that enables advanced analytics, audio information retrieval, and personalization capabilities across Car Audio Division You will establish standardized, secure, and scalable pipelines to collect, curate, and govern data from internal engineering systems, companion apps, and connected-vehicle telemetry. You will collaborate closely with Data Scientists, ML Engineers, Embedded/DSP Engineers, and Audio Experts to ensure high-quality data products are consistently available for experimentation, training, validation, analysis, and production monitoring—while meeting strict privacy, security, reliability, and automotive compliance requirements. You will also serve as a platform consultant, advising other departments on data architecture, data contracts, ingestion design, and downstream consumption, while adhering to strict privacy, safety, and reliability requirements. Design and implement standardized data ingestion frameworks for batch and streaming sources (internal databases, user‑preference data, vehicle telemetry). Define and maintain data models and data contracts (schemas, semantics, versioning rules) for audio-related files, user preferences and metadata including quality guardrails (schema validation, anomaly detection, etc.) Develop and maintain data lakes / lakehouse architectures Design and implement standardized API for data consumption. Prepare and curate high‑quality datasets for AI/ML model training, validation, experimentation and statistical analysis. Collaborate directly with ML Engineer and Data Scientist to optimize data formats for training performance and storage efficiency Design cost‑aware policies for data retention, sampling, compression,



and technology selection Establish measurable KPIs for data cost efficiency, pipeline reliability, and performance Mentor other engineers on practical data engineering, performance tuning, and cost‑efficient design Strong execution mindset with the ability to design, implement, debug, and optimize data systems end‑to‑end ~ Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or a related field ~5+ years of hands‑on experience building and operating large‑scale data pipelines and platforms ~ Strong proficiency in Python, PySpark and SQL for data processing and automation ~ Solid experience with cloud‑based data platforms (e.g., AWS S3, Azure, Databricks, object storage, distributed computing)~ Proven ability to automate repetitive tasks and improve data hygiene ~ Proven experience implementing cost‑saving strategies in data platforms (storage tiering, compute optimization, pipeline tuning)~ Deep understanding of data modeling, partitioning, indexing, and performance optimization ~ Experience handling large‑volume, high‑frequency or unstructured data (audio, signals, logs, telemetry)~ Strong knowledge of data governance, and privacy best practices ~ Working knowledge of privacy‑preserving data handling (pseudonymization, anonymization, etc.), data‑quality checks, and data‑lineage tracking. ~ Ability to work independently and collaborate effectively in cross‑functional general teams ~ Experience working with audio, image or signal processing domains Background working with automotive datasets or connected vehicle data Experience deploying ML models to production (cloud or edge environments). Experience with event-driven architectures (Kafka-like patterns, IoT ingestion patterns). Experience programming with C++ and embedded systems Experience building reproducible working‑environment (docker, virtual environments) Advanced English communication skill,



will be part of a Global team Willing to work in an office at Queretaro as part of hybrid flex work Flexible work environment ~ Extensive training opportunities through our own HARMAN University ~ An inclusive and diverse work environment that fosters and encourages professional and personal development We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. net’ email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in one of the above email domains about a job with HARMAN, please cease communication immediately and report the incident to us through: [email protected] strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. HARMAN attracts, hires, and develops employees based on merit, qualifications and job-related performance.()

📌 Data & Analytics Architect (San Juan del Río)
🏢 Harman International
📍 San Juan del Río