> Markdown version of [/jobs/ext/4013851-principal-technical-lead-software-engineering-data-infrastructure-north-america-software-center](https://www.wearedevelopers.com/jobs/ext/4013851-principal-technical-lead-software-engineering-data-infrastructure-north-america-software-center). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Technical Lead Software Engineering Data Infrastructure - North America Software Center - **Company:** Taiwan Semiconductor Manufacturing Co Ltd - **Location:** United States - **Experience:** Expert - **Salary:** $166,800.0 - $241,800.0 - **Contract:** Permanent contract - **Skills:** Training Data, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon S3, Data Analysis, Apache HTTP Server, Big Data, Cloud Storage, Computer Programming, Databases, Computer Engineering, Data as a Services, Data Governance, Data Infrastructure, Data Synchronization, Data Warehousing, Relational Databases, Disaster Recovery, Distributed Data Store, Distributed Systems, Elasticsearch, Fault Tolerance, Apache Hadoop, Python (Programming Language), PostgreSQL, Meta-Data Management, MongoDB, MySQL, NoSQL, Redis, Data Mesh, Scala (Programming Language), Software Engineering, Data Streaming, AI Infrastructure, Enterprise Data Management, Data Processing, Cloud Platform System, Feature Engineering, Data Ingestion, Retrieval-Augmented Generation, Apache Spark, HybridCloud, Event Driven Architecture, Data Lakes, AI Platforms, Information Technology, Data Lineage, Low Latency, Apache Flink, Cassandra, Apache Kafka, Spark Streaming, Data Management, Database Replication, Data Lakehouse, Data Pipelines - **Published:** October 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/principal-technical-lead-software-engineering-data-infrastructure-north-america-software-center-washington-dc--40d51923-7197-4317-b7a2-27f3ab752bb1 ## About the Role Software Engineering, Technical Leadership, Consumer Electronics, Healthcare, Manufacturing, Alternative Energy, Leadership, Semiconductors, Technical Leadership, International Operations, We are seeking a talented and experienced Data Infrastructure Tech Leader to help design, optimize, and manage TSMC large-scale data infrastructure., * BS/MS/PhD in Computer Science, Computer Engineering, or related field. * 12+ years of software engineering experience. * 5+ years leading architecture for large-scale data platforms. * 3+ years' Experience as Principal Engineer, Staff Engineer, Architect, or Technical Lead. * Strong technical communication skills for collaborating with global cross-functional teams. Required Technical Experience: * Enterprise Data Infrastructure: Deep experience designing enterprise-scale data platforms. Hands-on experience with: * Data Lakehouse architecture * Data Mesh * Data Warehousing * Streaming platforms * Metadata management * Data catalog * Data governance * Streaming Platforms: Strong experience with: * Apache Kafka * Apache Pulsar * Apache Flink * Spark Streaming * Big Data Technologies. Experience with: * Apache Spark * Apache Iceberg * Delta Lake * Apache Hudi * Hadoop ecosystem * Airflow * Trino * Databases. Hands-on experience with: * Relational Databases. PostgreSQL or MySQL * NoSQL Databases: Cassandra, MongoDB, Redis, or Elasticsearch * Object Storage: Amazon S3, Azure Blob Storage, or MinIO * Distributed Systems. Strong understanding of: * * Distributed storage * Data partitioning * Replication * Consistency models * Programming experience with JAVA, Scala, Python, or Go. Preferred Qualifications: * Petabyte-scale data * Global enterprises * Multi-region deployments * Manufacturing analytics * AI platforms * Real-time streaming * Enterprise data governance * Hybrid cloud environments Eligibility: Applicants must have legal authorization to work in the United States. We currently cannot provide sponsorship or take over sponsorship of an employment visa. Employment at TSMC is contingent upon passing a background check and drug screening. In compliance with Washington state regulations, cannabis (marijuana) use will not be included in the drug screening. ## Description Working closely with AI Infrastructure, Cloud Platform, and Engineering teams across North America and Taiwan, you will build highly scalable, secure, and reliable data services supporting petabyte-scale data processing and mission-critical enterprise workloads., Define Data Platform Strategy * * Define the long-term architecture and technical strategy for enterprise data infrastructure. * Drive technical direction for scalable data services supporting global engineering and manufacturing. * Establish architectural standards, best practices, and platform roadmaps. * Lead architecture reviews and technical decision-making across multiple organizations. Design Enterprise Data Platforms Architect highly scalable systems including: * * Data Lakehouse * Streaming platforms * Batch and real-time data pipelines * Metadata management * Data catalog services * Data APIs Build Distributed Data Systems Design highly available platforms supporting: * * Petabyte-scale storage * Real-time streaming * Event-driven architecture * Data replication * Global data synchronization * High-throughput ingestion * Low-latency query processing * Multi-region deployments * Disaster recovery * Fault-tolerant data processing Enable AI and Analytics Partner with AI platform teams to provide: * AI-ready data pipelines * Feature engineering infrastructure * RAG data ingestion * Vector databases * AI data governance * Data lineage * Model data pipelines * Training data infrastructure Technical Leadership * * Mentor senior engineers and technical leads. * Lead cross-functional architecture initiatives. * Collaborate with engineering teams across North America and Taiwan. * Influence technical direction across multiple organizations. * Partner with business stakeholders to align platform investments with enterprise priorities.