Lead Data Architect

Role Overview

• Software Architect and Master Data Management expert responsible for planning, designing, and implementing modules of the Honeywell Product Master Solution.
• Building the architectural design and implementation plan to onboard business critical data dimensions into the Honeywell Product Master Solution by determining the necessary data modelling, data integration, data transformation and publish layers connecting to enterprise repositories and end consumer applications within the Honeywell Ecosystem to ensure consistent and governed product data delivery.
• Drive the build and implementation efforts spanned across multiple releases across different Honeywell business groups based on their respective digital journey roadmaps aimed at building a enterprise data management solution catering to the enrichment and marketing needs of each business’ product data.
• Solutioning and designing the integration platform for marketing and ecommerce applications and driving the data driven design of their product catalog systems in aimed at optimizing the customer experience.
• Coordinate and groom business requirements with stakeholders across geographies and belonging to various Honeywell businesses in order to derive functional requirements and subsequent implementation plans from their data management and digitization needs

Requirements

• Qualified applicants must have a Bachelor’s degree or foreign equivalent in Computer Science Engineering/Information Technology/Electronics and Communication Engineering, or a related field, and 7 years of experience with Informatica Master Data Management and Informatica Product Information Management technologies.
• Must have 5 years of experience with the following: Informatica Master Data management or any equivalent technology such as Stibo MDM or IBM MDM; Informatica Product Information management or any equivalent Product Information Management technologies such as IBM PIM or Reltio PIM; Informatica Data Quality or any other equivalent data quality or analytics technology such as IBM Quality stage; Relational Database systems such as Oracle, DB2, SQL Server, Google Big Query etc.; Data Integration technologies such as Informatica Powercenter, Informatica Cloud Data Integration and Alteryx; Java Programming language including core concepts such as object oriented programming, data structures and looping methodologies and advanced concepts like MVC Frameworks, Spring Framework and database access methodologies such as Hibernate , JPA etc.; Machine Learning applications using Python using Siclit-Learn, Tensorflow, Pytorch or equivalent technologies; Generative AI Technologies such as GPT, Azure Open AI, Llama2 or equivalent; Master Data Management concepts and algorithms; Data Analytics and Reporting application design and implementation; Data Integration and Application Integration architecture and design; Digital Ecommerce technologies such as Hybris, Magento or equivalent with expertise in back office design; Content and Document Management System such as Adobe Experience Manager; End to end solution design for interconnect data flow systems spanning across resource planning engines , data management /data analytics applications and consumer platforms.
• Up to 10% domestic travel required.

Tech Stack

• AEM
• Azure
• BigQuery
• Cloud
• Hibernate
• Informatica
• Java
• Magento
• Oracle
• Python
• PyTorch
• Spring
• SQL
• Tensorflow

Benefits

• Telecommuting permitted up to 2 days per week.
• Employee Referral Fee: $1500