Staff Data Engineer

Analog Devices, Inc. (NASDAQ: ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI 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 FY23 and approximately 26,000 people globally working alongside 125,000 global customers, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at and on .

As a Staff Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly scalable, performant, secure, and resilient. You rely on sound judgement, critical thinking, and creativity to deliver customer focused data solutions that create meaningful business impact. You are experienced with various patterns of data ingestion, processing, and curation. You understand criticality of data mesh architecture, data modeling, data quality, security & governance practices and are adept at it. You design solutions with strategic and long-term focus on code quality, reliability, reusability, maintainability and dataops. You are experienced in building efficient and scalable data services.

Responsibilities

• Design and development of data pipelines, automation, and visualization tools to enable modern Data and analytics solutions.
• Guide the expansion of our data products and solutions by advising and influencing business leaders and senior stakeholders with data-driven insights.
• Partner with the data platform and infrastructure teams to architect and connect high quality, resilient data feeds from across the enterprise.
• Work with enterprise architects, review data architecture and ensure alignment.
• Perform design and development in technologies like Fivetran, Snowflake, DBT, Python, SQL, Spark, Kubernetes, Kafka and utilize cloud technologies like Azure, AWS, and GCP.
• Experience working with data modeling tools like Erwin, ER-Studio, Hackolade.
• Lead the execution of large scale, complex data and analytics efforts, as well as mentor complex projects using a wide breadth of data science and analytical techniques.
• Develop in-depth subject matter-expertise in understanding key strategic data sources and data lineage within the organization.
• 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.
• Communicate the value of data clearly by articulating both the high-level concept and detailed user stories for feature enhancements and convince teams to adopt data-driven improvements.
• Drive innovation by creating new frameworks, standards, prototypes, and automation projects in relevant areas.
• Experience working with petabyte scale structured/semi-structured/unstructured data efficiently by designing, building and maintaining robust data processing frameworks for enabling actionable insights and analytics.
• Create dashboards using enterprise tools such as Tableau and PowerBI.

Qualifications:

• 10+ years of experience in software engineering, including 5+ years working with data engineering technologies.
• 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.

Job Req Type: Experienced

Required Travel: No

Shift Type: 1st Shift/Days