Principal Digital Architect- Data Architecture

Career Area:
Business Technologies, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Role Definition
Participates in defining functional designs and application systems architecture across various digital platforms. The primary focus of this role will be to lead data architectures for large Digital platform applications
Responsibilities • Developing detailed architecture deliverables to solve business problems • Designing an application's technical infrastructure, such as specific databases, programming languages, utilities, and testing approaches. • Leading the evaluation and deployment of new technologies to add or enhance existing digital technical capabilities. • Participating in addressing business requirements for applications and collaborating with cross-functional teams to deliver digital solutions that meets business results
Skill Descriptors
Analytical Thinking : Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Level Extensive Experience: • Seeks discrepancies and inconsistencies in available information; explains variances. • Organizes and prioritizes the sequence of steps to be taken to remedy the situation. • Identifies many possible causes for a problem based on prior experience and current research. • Quantifies the costs, benefits, risks and chances for success before recommending a course of action. • Approaches a complex problem by breaking it down into its component parts. • Chooses among a diverse set of analytical tools according to the nature of the situation.
Effective Communications : Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
Level Working Knowledge: • Delivers helpful feedback that focuses on behaviors without offending the recipient. • Listens to feedback without defensiveness and uses it for own communication effectiveness. • Makes oral presentations and writes reports needed for own work. • Avoids technical jargon when inappropriate. • Looks for and considers non-verbal cues from individuals and groups.
Application Design, Architecture : Knowledge of basic activities and deliverables of application design; ability to utilize application design methodologies, tools and techniques to convert business requirements and logical models into a technical application design.
Level Extensive Experience: • Facilitates in application design reviews and walkthroughs. • Creates and evaluates technical alternatives for complex applications. • Interprets application services such as API; integrates them with technical design. • Develops various, distinct and multiple technical application designs. • Prepares data technical design documents and blueprints for applications. • Explores and evaluates application design considerations for multiple technologies. • Monitors data architecture design processes (e.g. interface to data), in accordance with existing processes and standards. • Recommends improvements to data architecture processes to ensure high quality of data architecture deliverables and consistency. • Coordinates data architecture project resources to effectively achieve business goals. • Guides junior data architects on considerations in the design of architecture building blocks. • Anticipates any obstacles and makes plans accordingly to ensure that stakeholder requirements are fully reflected in data architecture outcomes. • Solves moderately complex issues in target data architecture design processes (e.g. data management process modeling, data entity matrix design).
Platform Architecture : Knowledge of technologies and methods to design processing mechanisms and roadmaps to execute business application systems; ability to design these roadmaps and deploy supportive interfaces for end-users to access related systems, in accordance with standards and processes.
Level Extensive Experience: • Monitors the compliance of data platform architecture processes and standards and alignment with business objectives. • Guides less experienced data platform architects on the techniques and approaches used in design processes. • Advises others on providing high quality deliverables of data platform architectural roadmaps to fully satisfy client needs. • Recommends improvements to the effectiveness and efficiency of platform modeling standard processes. • Teaches cross-team technology members about their roles and responsibilities associated with allocating resources to various platforms. • Resolves moderately complex issues that occur in platform modeling and roadmaps design processes.
Requirements Analysis : Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
Level Working Knowledge: • Follows policies, practices and standards for determining functional and informational requirements. • Confirms deliverables associated with requirements analysis. • Communicates with customers and users to elicit and gather client requirements. • Participates in the preparation of detailed documentation and requirements. • Utilizes specific organizational methods, tools and techniques for requirements analysis.
Target Architecture : Knowledge of target architecture; ability to develop the IT blueprint and roadmap while aligning the architecture and processes with business strategies and objectives.
Level Extensive Experience: • Designs each phase in the target architectural process and selects corresponding portfolio of services to ensure that stakeholder requirements are fully met. • Monitors target architectural processes to ensure that they are in line with business strategies and objectives. • Advises others on implementing quality assurance deliverables and estimated outcomes for target architecture. • Guides less experienced architects in the processes involved in analyzing target architecture. • Coordinates architectural resources to ensure that the future state of IT meets client requirements. • Provides solutions to moderately complex architectural modeling problems and significant barriers encountered in the target architecture design process.
Top candidates will have:
• Strong Understanding of the data platform and build new data solutions on the existing data platform. Impact analysis needs to be performed so as not to have unknown impact in other data solutions build on the platform.
• Understanding the current data landscape and build new solutions on top of existing solution.
• Demonstrable experience in Trouble shooting and finding solutions for technical and functional issues identified in the program/project.
• Evaluate, analyze, document and communicate business requirements to stakeholders.
• Run Architecture meetings/discussions and document the solutions on confluence. Complete the solutions and have engineering handover.
• Supported the engineering team during the entire cycle of the build and deploy phases.
• Owned and develop relationship with partners (customers, dealers, Technical Product Management, Architect teams), working with them to optimize and enhance the data products.
• Provided guidance on the technical solutions and guidance on new product like optimal database recommendations like dynamo vs Postgres, AWS options like Kinesis and Event bridge.
• Owned the solutions on the Data lake (Snowflake), The solutions should be performant, secure and Cost Optimal.
• Owned some of the data domains in the Data Platform i.e. Any solution on the data domain should be either worked upon or reviewed by the architect.
• Provided ROM (rough order of magnitude) for the solutions and data products.
• Based on understanding of data domains and Business requirements create reusable data products which can be used across applications and teams.
• Create/Review HLA and TA documentation with reference to a business requirement.
• Improve architecture by tracking emerging technologies and evaluating their applicability to business goals and operational requirements.
• Identified and solution for business critical business rules for improving the data quality in the platform.
SKILLS
Must Have:

• AWS (EMR, Glue, S3, Fargate, SNS, SQS, Kinesis, AWS EventBridge, RDS, DynamoDB) , Snowflake, SQL, Python, ER Modelling.

Good to Have:

• Microservices and API knowledge

Posting Dates:
November 20, 2024 - November 26, 2024
Caterpillar is an Equal Opportunity Employer (EEO).
Not ready to apply? Join our Talent Community .