Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
Our Culture:
Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.
At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
Job Summary:
We are seeking a hands-on AI-Enabled Data Migration Specialist to embed AI capabilities within an existing enterprise migration pipeline spanning Databricks (Azure), cutover platform, and Salesforce. The role focuses on identifying, building, and operating practical AI solutions that reduce manual effort, improve data quality, and increase migration accuracy throughout the migration lifecycle.
This is a delivery-focused role where the successful candidate will actively execute migration activities, leveraging AI agents and automation to enhance data preparation, cutover orchestration, validation, and reconciliation processes. The individual will work within the existing technology ecosystem, applying sound engineering judgement to determine when AI-driven approaches deliver value versus traditional automation methods.
The role requires strong expertise in data migration, data quality, reconciliation, and platform integration, along with the ability to design, implement, monitor, and continuously improve AI-assisted components operating across Databricks, migration orchestration tools, and Salesforce environments. The candidate will also play a key role in ensuring AI-enabled processes are transparent, reliable, and operationally trusted by the broader migration team.
Responsibilities :
Design and implement AI agents / tools that plug into one or more stages of the existing migration pipeline
Work within existing tools and platforms rather than introducing a parallel stack
Apply judgement on where AI genuinely adds value versus where a deterministic script is the better (and cheaper) answer
Build and maintain data mapping, reconciliation, and validation logic across Databricks, the cutover tool, and Salesforce
Monitor, troubleshoot, and iterate on AI-assisted components already in flight during migration cutovers
Document AI touchpoints clearly enough for the broader migration team to operate and trust them
Skills Required :
Good understanding of Medallion Architecture and modern Data Engineering
Databricks: PySpark/SQL, Delta Lake, notebooks, job orchestration, Unity Catalog
Azure ecosystem: Azure Data Factory, Azure Storage, and networking/security basics for Azure-hosted workloads
Salesforce data model: objects, relationships, API limits, Bulk API, data loader patterns
Familiarity with cutover / migration orchestration tooling and general migration discipline (mapping, reconciliation, validation, rollback and cutover planning)
Preferably Telco Experience
Practical experience building or configuring agents — orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or Azure AI Foundry's agent tooling — not just single-call LLM integrations
Azure OpenAI Service experience, given the pipeline is already Azure-hosted
Working knowledge of Databricks' native AI surface (Mosaic AI, AI Functions in SQL, Databricks Assistant)
RAG / embeddings experience is a plus where unstructured data (e.g. legacy field documentation) is involved
Benefits:
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:
- You can pursue innovative career tracks and opportunities here
- You can enhance your professional development through education and dedicated training
- We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.
Next Steps:
Please reach out to our friendly and welcoming team today to apply and register your interest in this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.
