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Senior Engineer, Enterprise Data Management

Levi Strauss & Co. -
São Paulo, SP

Candidatura rápida

Detalhes da vaga

Meio período | Tempo integral

Qualificações

Gestão
Business intelligence
Cadeia de suprimentos
Design de Sistema
NoSQL
Tableau
Banco de Dados
Neo4j
Redis
APIs
Kafka
GraphQL
Inteligência artificial
Liderança
Banco de Dados Gráfico
Python
Negociação
MySQL
Workday

Descrição completa da vaga

About the Role

We’re 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. You’ll 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 You’ll 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

LOCATION

Mexico, D.F., Mexico

FULL TIME/PART TIME

Full time

Current LS&Co Employees, apply via your Workday account.

Candidatura rápida

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python full stack sênior vagas

Senior Engineer, Enterprise Data Management

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Current LS&Co Employees, apply via your Workday account.

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