Senior Data Engineer

Who We Are

Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future. 

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At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. 

You’ll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied.

We are looking for a Senior Data Engineer who will be responsible for designing and implementing scalable, efficient, and robust data architectures. Your role will be to deliver data centric data integration solutions with transformation logic to be consumed by our customers. You will be responsible for collaborating with the Data Architects, Business Analysts, Customers and Solution Architects to understand data requirements and ensure alignment with business goals.

Key Responsibilities:

• Data Engineering & Data Modelling- Creating data architectures and logical/physical data models for databases and data warehouses.
• Focus on execution & delivery of highly reliable, high-quality data pipelines aimed at maximizing business value through data products.
• Lead data engineering teams, building and improving next generation data & analytics capabilities within DevSecOps framework.
• Work closely with the Business Analytics leaders to understand needs of the business; clearly articulating the story of value created through data & technology.
• Be an expert and a thought leader of how data and technology come together to empower the business.
• Conducting requirements gathering and analysis to understand the domain of the software problem and/or functionality, the interfaces between hardware and software, and the overall software characteristics.
• Supporting software testing, deployment, maintenance, and evolution activities by correcting programming errors, responding to scope changes, and coding software enhancements.
• Applying knowledge of software development best practices, including coding standards, code reviews, source control management, build processes, testing, and operations.
   

Required Qualifications:

• Requires a minimum of 10 years of related experience with a Bachelor's degree in Computer Science or equivalent, or a Master's degree in Computer Science or equivalent.
• Demonstrated ability to examine issues, drive resolution, and effectively influence across the organization. Capable of challenging the status quo in technology and architecture.
• Exceptional interpersonal and communication skills (both oral and written), including the ability to explain digital concepts and technologies to business leaders and business concepts to technologists.
• 3+ years of experience leading data engineering teams with an excellent understanding of business domains within the semiconductor industry.
• Must have proven experience with RDBMS, SQL & NoSQL databases, Big data, Spark and real-time streaming systems.
• Must have experience in Cloud Architecture (Azure, GCP, AWS) and cloud-based databases (Synapse, Databricks, Snowflake, Redshift).
• Must have experience leading data engineering teams with planning and execution using Agile methodology (Scrum/Kanban) within a DevSecOps model.
• Ability to define data pipelines to address data challenges, including different granularity, data gaps, multi-language, structured and unstructured data, and normalization.
• Proven track record of leading multiple high-profile projects with demanding deadlines, changing requirements, and working with defined resources. Ability to estimate required effort and prioritize work items appropriately.
• Expertise in Data & Analytics product management, Azure, SQL, and Data Catalog.

Additional Information

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Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.