Software Architect - Middleware

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. 

What We Offer

Location:

Bangalore,IND

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.

Key Responsibilities

• Negotiate with customers to architect and design business BI and data management application and platform solutions to address complex cross functional and technical needs, and converts design to functional and technical specifications. Identifies and recommend industry BKM's for integrated solution design and standards.  
• Manage BI,, Big Data and AI/Ml software application and platform configuration and/or coding, including query and report building, dashboard creation, and master data and integration object development. Introduce and manage BKMs for delivery of self service models. Responsible for the Data Science lifecycle including data curation, and model,build, test and deployment. Lead overall testing (unit, integration, performance, acceptance) and data conversions using standard tools and following established processes and guidelines. Oversees contingent workers performing configuration, coding and object development work. Perform Quality assurance.
• Manage the execution of BI application and platform evaluations and POC's. Assess vendor strategies, roadmaps and next generation technologies, and recommend changes to architectural strategy and technology roadmap. 
• Manage personnel providing business Intelligence, big data or AI/ML application and platform support services  to meet performance, availability, customer service level agreement, and customer satisfaction targets. Monitors specific IT systems or set of systems for availability, performance and capabilities and reports anomalies through predefined process. Manages completion of root cause analysis and resolution of complex outages  or incident trends working with infrastructure and technical teams, support providers and application vendors. Recommends and executes required corrective actions.   Participate in evaluation and recommendation of patches, point releases, major upgrades and new systems.
• Deliver and manage personnel ressponsible for the delivery of BI, Big Data and AI/ML project and support services within area of responsibility within allocated budget. Develops project budgets. Develops  understanding cost model and cost drivers for service(s) and recommend service area budgets and cost optimization activities. May be responsible for timely renewal of maintenance and subscription contracts.
• Adheres to and manages junior staff  to adhere to GIS project management, software application development, testing, service management, change management, RCA  and other relevant processes, standards, governance and controls.  May manage execution of sox contols and testing, and support internal and external audits. 
• Plan and manage medium to large scale  Business intelligence, Big Data or AI/ML application or platform projects to ensure effective and efficient execution in line with guardrails of scope, timeline, budget and quality. May serve as a Business Intelligence, Big Data, or AI/ML team lead on a large, complex, cross functional project. May manage junior project managers.
• Oversees/manages contingent workers performing Business Intelligence, Big Data and AI/ML  project and/or support services. Responsible for the selection, onboarding and offboarding of contingent workers in a timely manner. Manges contingent worker project/task assignments and ensure work product quality. Approves contingent worker timesheets/cost.
• Architect and design solutions utilizing associated Bigdata technologies(databricks), with a focus on delivering solutions using Azure/AWS 
• Design and develop data models, schemas, and databases.
• Define data governance policies and standards.
• Collaborate with business stakeholders to understand data requirements.
• Optimize data storage, retrieval, and processing.
• Ensure data security and compliance.
• Evaluate and recommend data technologies and tools.
• Develop Spark applications for data processing and analysis
• Optimize Spark jobs for performance and scalability.
•  Troubleshoot and debug Spark-related issues.
• Collaborate with data scientists and data engineers.
• Monitor Spark clusters and manage resources.
• Build production ready highly scalable, available, fault-tolerant data processing systems using Azure technologies, Spark, Elasticsearch and other big data technologies
• Willingness to drive people on all sides of an issue to a common understanding and then drive them toward resolution
• Should be able to clearly communicate ideas in technical or business terms with their peers across IT
• Define Big Data technology strategies and roadmaps

 

Functional Knowledge

• Demonstrates in-depth understanding of concepts, theories and principles in own job family and basic knowledge of other related job families

Business Expertise

• Applies understanding of the industry and how own area contributes to the achievement of objectives

Leadership

• Manages a generally homogeneous team; adapts plans and priorities to meet service and/or operational challenges

Impact

• Impacts the level of service and the team’s ability to meet quality, volume, and timeliness objectives
  Guided by policies and resource requirements within business unit, department or sub-function

Interpersonal Skills

• Guides, influences and persuades others internally in related areas or externally

 

Qualifications , Experience  & Mandatory Skills

•     Experience with ETL processes and data integration.
•     Expertise on  cloud platforms ( Azure, AWS)- Any one
•     Strong Proficiency in  Python.
•     Expertise with data streaming frameworks (e.g., Kafka).
•     Proficiency in working with Databricks
•     Bachelor’s degree in Computer Science or relevant field.
•     12+ years’ experience with data/Architect related positions and responsibilities

 

As a Data Architect - Engineer, you will play a pivotal role in designing, implementing, and optimizing data solutions within our organization. You’ll collaborate with cross-functional teams to define data architecture, ensure data quality, and drive efficient data pipelines. Additionally, you’ll specialize in building and optimizing Apache Spark applications for big data processing, streaming, and analytics.

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

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.