Summary
The Lead CX Data Integration Engineer assimilates data from various disparate sources into a unified, consistent view. Using a variety of integration tools and patterns, the Lead CX Data Integration Engineer delivers specialized software that ingests, transports, and stores business data and uses technology to organize related information, implementing common data models, and supplying data to all types of data consumers. With a focus on Customer Experience, The Lead CX Data Integration Engineer will be working to provide Customer Care with an industry leading CRM, CCaaS and ERP experience and excellent Self-Help capabilities to our Retail Customers. The Lead CX Data Integration Engineer reviews solutions and code, provides situational leadership on the team, and influences hiring decisions, as well as decisions on tools and technology.
Primary Job Functions
- Develop and manage the integration of data -- orchestration, ingestion, storage, format, transport, pipelines, and provisioning. Make decisions about the selection of tools and technology.
- Create and modify functions, programs, routines and procedures to export, transform and load data. Work across teams to optimize and build for re-use.
- Develop logical and physical data models.
- Work with IT, business and data management teams to understand data needs and develop specialized solutions.
- Collaborate with application integration and development teams on the selection and development of application data structures, storage, and integration in accordance with enterprise architectural standards. Serve as the liaison to application and integration teams. Learns the organizations enterprise applications, systems, and database portfolio, providing subject matter expertise to the team.
- Creation and maintenance of RESTful APIs to expose access to Data.
- Design for data quality, flexibility, and supportability.
- Protect the organization and its assets with a strong consistent security awareness.
- Optimize data integrations, balancing cloud and maintenance costs with performance.
- Track industry changes and recommend improvements in data integration and architecture.
- Lead DevOps principles and agile development practices on the team to increase quality and reliability of software delivery, conduct code reviews and pull requests when needed
- Use DevOps principles and agile development practices to increase quality and reliability of software delivery. Code review and pull requests.
- Build automated tests and test datasets for repeatable software quality assurance testing.
- Maintain reference documentation.
- Demonstrate the Company's Core and Growth Values in the performance of all job functions.
Education: Bachelor's degree in Computer Science or related field, Required
Experience: 8+ years experience in data integration, data warehouse, and/or big data development, incorporating data architecture patterns and standards, as well as data integration design principles, working on an agile team, Required
Licenses or Certifications: Azure cloud certified, Preferred
Knowledge, Skills and Abilities:
- Knowledge of various architectures, patterns, and protocols, such as data virtualization, UDM, CQRS, CDM, data lake, data warehouse, multi-cloud
- Hands-on experience with data fabric pattern or knowledge of hybrid integration platforms and application integration (APIs, RPC, SOA, messaging)
- Experience with Talkdesk or other CCaaS solutions is a significant bonus
- Experience with Salesforce or other CRM is a significant bonus
- Experience with D365 F&O ERP or other ERPs is a significant bonus
- Expert .net knowledge and experience
- Expert SQL knowledge, knowledge of NoSQL types, time-series, ledger, other immerging types
- Expertise in at least one big data programming language, Java preferred
- Understand agile data modeling, lineage, other metadata management
- Knowledge of data ingestion techniques, including streaming, synchronization, real-time, near real-time and mini-batch
- Knowledge of data management practices, including master data management, data governance and data product management
- Knowledge of and experience with data integration platforms, Microsoft Azure preferred
- Conversant in basic statistical and machine learning concepts, to collaborate effectively with data scientists and analysts
- Adaptability, learn and adopt new technology
- Advanced analytical and problem-solving skills
- Strong attention to detail
- Excellent verbal and written communication skills
- Ability to perform under strong demands in a fast-paced environment
- Effective time management and organizational skills
- Work independently as well as in a team environment
- Maintain confidentiality
If you feel you have the necessary skill sets and are passionate about the job, please send your profile to [Confidential Information]
