Senior Engineer, Enterprise Data Management

About the Role

Were looking for a hands-on Senior Engineering Lead to lead delivery of our Enterprise Data Management (EDM) platforms spanning Product Information Management (PIM) Master Data Management (MDM) and data quality. Youll lead engineering efforts that centralize and curate customer location master and product catalogs ensuring they are accurate complete secure and immediately useful across our ecosystem of applications and channels.

In this role you will partner closely with Product Architecture and Business stakeholders to define the vision for enterprise data capabilities lead a team of engineers to execute on it and establish the KPIs and operating model that turn data into a durable competitive advantage.

What Youll Do

Leadership & Strategy

- Lead system design and reference architecture for scalable distributed data platforms using microservices and event-driven patterns.

- Establish data governance practices and operating mechanisms (standards stewardship SLAs playbooks runbooks).

- Drive cross-functional alignment and stakeholder management across Engineering Product Security Privacy/Legal and business domains.

Enterprise Data Architecture & Delivery

- Lead solution architecture data modeling and integration patterns for PIM/MDM (e.g. Syndigo Salsify Informatica MDM) and digital assets.

- Centralize product information and digital assets; integrate upstream/downstream sources (e.g. PLM DAM ERP commerce analytics).

- Implement and evolve a data quality framework (profiling rules monitoring reconciliation) to measurably improve data completeness consistency and timeliness.

- Design and deliver cloud-native and cloud-agnostic master data services powering 30 applications and business functions.

Engineering Excellence

- Lead mentor and grow a high-performing team; set coding standards and review practices.

- Partner with Product to define KPIs/OKRs manage delivery plans and communicate progress to leadership.

- Drive adoption of AI first approach to engineering within the master data domain.

Analytics Enablement

- Ensure data products are analytics-ready and traceable; enable BI adoption (e.g. Looker)

- Define data contracts and SLAs; improve trust in metrics and self-service discovery.

Required Qualifications

- 10 years in software/data engineering with 5 years leading teams delivering enterprise data platforms or services.

- Hands-on leadership with PIM/MDM platforms (e.g. Syndigo Informatica MDM) and related data domains (product item supplier location customer).

- Proven expertise in system design and distributed architecture (microservices event-driven horizontal scaling).

- Strong experience with event streaming and real-time integration.

- Solid database background across relational and NoSQL stores; working knowledge of graph databases and when to use them.

- Proficiency in Python and object-oriented design; able to contribute to codebases and set engineering standards.

- Demonstrated ability to define implement and report on KPIs/OKRs that guide decisions and communicate progress.

- Excellent communication stakeholder management and negotiation skills to align diverse teams on shared outcomes.

- Proven experience leading a global multidisciplinary engineering team (software data SRE) with dotted-line collaboration to Architecture and Product

Preferred Qualifications

- Experience implementing cloud-agnostic services and abstractions across major cloud providers.

- Delivered integrations with PLM/DAM/ERP/Commerce platforms (e.g. FlexPLM Adobe DAM/AEM Assets).

- Familiarity with data governance metadata management and data catalog tools.

- Working knowledge of Tableau and Looker for operational and executive reporting.

- Background in setting up data quality frameworks (profiling rules engine monitoring reconciliation pipelines).

- Experience with privacy/security (e.g. GDPR/CCPA) access controls and data masking/tokenization.

- Exposure to supply chain digital commerce or omnichannel product content workflows.

Tech Stack (Representative)

- PIM/MDM: Syndigo Informatica MDM

- Event Streaming & Integration: Kafka CDC tools REST/GraphQL APIs

- Datastores: Postgres/MySQL Mongo/Document stores Redis Graph DBs (e.g. Neo4j)

- Services & Infra: Microservices (Python) containers CI/CD IaC feature flags

- Observability: Logging metrics tracing (e.g. OpenTelemetry) alerting/incident mgmt

- BI & Reporting: Looker Tableau