Job Description
Seeking Principal Data Engineer to define governance for data pipelines, develop technical controls for data collection and quality control, and guide data product governance with data-driven insights. 10+ years of experience in software engineering, including 7+ years with data engineering technologies. Strong negotiation skills and experience in vendor management. Broad expertise in distributed systems, streaming systems, and data engineering tools. Deep knowledge of Python, SQL, database design, and master data strategies. Experience defining, architecting, and rolling out data products. Experience mentoring and leading junior technical staff. Confident peer influencer with strong communication skills. Additional qualifications include experience in the manufacturing industry or familiarity with handling IOT/edge device data. Required travel: 10% of the time. Shift type: 1st Shift/Days. Analog Devices, Inc. is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. The company combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today's innovators stay Ahead of What's Possible. The Core AI team is looking for a Principal Data Engineer who will be responsible for defining governance for data pipelines and quality control of future tech datasets. They will also help define and develop technical controls for data collection, data quality control, and compliance. Responsibilities include defining and developing technical controls for data collection, data quality control, and compliance to enable modern AI and analytics solutions. The Principal Data Engineer will guide the governance of our data products and solutions by advising and influencing business leaders and senior stakeholders with data-driven insights. They will partner with the data platform and infrastructure teams to manage the quality, resilient data feeds from across the enterprise. The Principal Data Engineer will develop in-depth subject matter-expertise in understanding key strategic data sources and data lineage within the organization. They will scope key business challenges, identify the right data and provide direction to data analysts, data analytics product managers, data scientists, data engineers and business stakeholders. Qualifications include experience in data pipeline management, aggregation, and quality control. Knowledge of technical controls for data collection, data quality control, and compliance. Strong negotiation skills and experience in vendor management. 10+ years of experience in software engineering, including 7+ years working with data engineering technologies. 5+ years leading technical teams and managing complex data engineering projects and pipelines. Degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field. Broad expertise and experience with distributed systems, streaming systems, and data engineering tools, such as Kubernetes, Kafka, Airflow, Dagster, etc. Deep knowledge of Python, SQL, database design, and master data strategies. Experience defining, architecting, and rolling out data products, including ownership of data products through their entire lifecycle. Experience mentoring and leading junior technical staff, incorporating modern software development tools and practices. A confident peer influencer with strong communication skills who quickly establishes credibility and is capable of leading cross-functional technical teams. Additional qualifications include experience in the manufacturing industry or familiarity with handling IOT/edge device data.