MDM Senior Data Engineer-P-Tiger Analytics

JOB DESCRIPTION

Curious about the role?

As a Senior Data Engineer, you will be responsible for design and develop Business Entity models, hierarchies, and

relationships in Informatica MDM SaaS

Refactor and configure match rules, merge logic, and survivorship policies for golden record creation

Implement and optimize data quality rules for cleansing, standardization, and validation

Integrate Address Doctor and other DaaS services via Cloud Application Integration (CAI)

Build and maintain data pipelines for batch and real-time integration with enterprise systems and cloud platforms (e.g.,

Azure Data Lake)

Perform data profiling, deduplication, and enrichment activities

Lead the migration of master data from Informatica MDM on-premises to Informatica MDM SaaS, ensuring data integrity,

completeness, and continuity

Collaborate with data architects, stewards, and business stakeholders to align MDM with governance policies

Conduct post-migration validation to ensure accuracy and completeness of master data

Support cutover planning, go-live readiness, and post-deployment stabilization

Mentor junior Data Engineers and contribute to best practices and technical documentation

EXPERTISE AND QUALIFICATIONS

What do we expect?

8+ years of technical experience in Master Data Management with 5+ years of specialized experience with Informatica MDM (On premises) and 3+ years in Informatica SaaS MDM or Informatica MDM modernization or cloud migration programs completed at

least 2-3 full life cycle

Expertise in Informatica MDM (Hub Console, IDD, BES, SIF APIs, Customization)

Proven expertise in Informatica SaaS including Business Entity Services, Business 360 Console, Relationship 360, and Reference

360

Strong understanding of Customer, Product, Supplier, Location, and Material domains.

Demonstrated success in end-to-end MDM migrations from on-premises to SaaS, including data model refactoring, match / merge

rules, survivorship logic, and stewardship workflows

Strong command of data quality frameworks, including rule design, profiling, cleansing, and enrichment using Informatica Data

Quality (IDQ)

Experience integrating Cloud Application Integration (CAI) with external services like Address Doctor for real-time validation

Proven track record in migrating on-prem MDM to SaaS, including :

o Designing migration playbooks / runbooks

o Automating entity model generation and metadata mapping

o Ensuring data integrity, security, and minimal downtime

o Source-to-target mapping

o Data profiling and cleansing

o Transformation logic and survivorship alignment

o Incremental and bulk load strategies

Experience with zero-downtime cutover planning, rollback strategies, and parallel run validations

Proficiency in SQL, Informatica - CDI / CDQ / CAI, and metadata management.

Hands-on experience with cloud platforms - Azure and enterprise integration patterns

Excellent communication and stakeholder engagement skills, with the ability to translate technical concepts into business value

EXPERTISE AND QUALIFICATIONS

JOB DESCRIPTION

Curious about the role?

As a Senior Data Engineer, you will be responsible for design and develop Business Entity models, hierarchies, and

relationships in Informatica MDM SaaS

Refactor and configure match rules, merge logic, and survivorship policies for golden record creation

Implement and optimize data quality rules for cleansing, standardization, and validation

Integrate Address Doctor and other DaaS services via Cloud Application Integration (CAI)

Build and maintain data pipelines for batch and real-time integration with enterprise systems and cloud platforms (e.g.,

Azure Data Lake)

Perform data profiling, deduplication, and enrichment activities

Lead the migration of master data from Informatica MDM on-premises to Informatica MDM SaaS, ensuring data integrity,

completeness, and continuity

Collaborate with data architects, stewards, and business stakeholders to align MDM with governance policies

Conduct post-migration validation to ensure accuracy and completeness of master data

Support cutover planning, go-live readiness, and post-deployment stabilization

Mentor junior Data Engineers and contribute to best practices and technical documentation

EXPERTISE AND QUALIFICATIONS

What do we expect?

8+ years of technical experience in Master Data Management with 5+ years of specialized experience with Informatica MDM (On premises) and 3+ years in Informatica SaaS MDM or Informatica MDM modernization or cloud migration programs completed at

least 2-3 full life cycle

Expertise in Informatica MDM (Hub Console, IDD, BES, SIF APIs, Customization)

Proven expertise in Informatica SaaS including Business Entity Services, Business 360 Console, Relationship 360, and Reference

360

Strong understanding of Customer, Product, Supplier, Location, and Material domains.

Demonstrated success in end-to-end MDM migrations from on-premises to SaaS, including data model refactoring, match / merge

rules, survivorship logic, and stewardship workflows

Strong command of data quality frameworks, including rule design, profiling, cleansing, and enrichment using Informatica Data

Quality (IDQ)

Experience integrating Cloud Application Integration (CAI) with external services like Address Doctor for real-time validation

Proven track record in migrating on-prem MDM to SaaS, including :

o Designing migration playbooks / runbooks

o Automating entity model generation and metadata mapping

o Ensuring data integrity, security, and minimal downtime

o Source-to-target mapping

o Data profiling and cleansing

o Transformation logic and survivorship alignment

o Incremental and bulk load strategies

Experience with zero-downtime cutover planning, rollback strategies, and parallel run validations

Proficiency in SQL, Informatica - CDI / CDQ / CAI, and metadata management.

Hands-on experience with cloud platforms - Azure and enterprise integration patterns

Excellent communication and stakeholder engagement skills, with the ability to translate technical concepts into business valu