Data Integration Manager

Summary:

The CX Data Integration Manager assimilates data from various disparate sources into a unified, consistent view. Using a variety of integration tools and patterns, the Data Integration Manager 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. The Data Integration Manager 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:

Proficient in Azure Cloud, AI/Machine Learning platforms, Data Engineering pipelines, Big Data technologies, and Microsoft tools
Technical Project Manager with experience in CRM and Data Integration
Proven problem-solving skills with excellent analytical and interpersonal abilities
Communicate with clients regarding project understanding, requirements gathering, and solution development
Define milestones and execute internal QC/demos to ensure quality delivery
Perform full life cycle development including requirements analysis, system design and architecture, development, testing, deployment, and maintenance
Self-learning capacity to explore technical competency across a broad range of emerging technologies
Develop and manage the integration of data -- orchestration, ingestion, storage, format, transport, pipelines, and provisioning. Make decisions about the selection of tools and technology.
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.
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 Dev Ops 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 Dev Ops principles and agile development practices to increase quality and reliability of software delivery. Code review and pull requests.
Maintain reference documentation.
Demonstrate the Company’s Core and Growth Values in the performance of all job functions.

Experience:

10+ 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)
Expert .net knowledge and experience
Expert SQL knowledge, knowledge of No

SQL 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

Experience with Talkdesk or other CCaaS solutions is a significant bonus

Experience with Salesforce or other CRM is a significant bonus
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  vthulas