Senior Data Engineering Technical Lead – Informatica IDMC & AWS | Remote 2866
Xideral —Ciudad de México, CDMX
- Home Office (Desde casa)
- Oracle
- Administración de personal
- Inglés
- Seguro de vida
Postulación rápida
8h

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Senior Data Engineering Technical Lead – Informatica IDMC & AWS | Remote 2866
Xideral —Ciudad de México, CDMX
Mentor data engineering teams and promote engineering best practices. Proven experience leading data engineering teams. Initial loads and incremental CDC.
Postulación rápida
8h

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Senior Data Engineering Technical Lead – Informatica IDMC & AWS | Remote 2866

Xideral -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Hace 8 horas

Beneficios

Seguro de vida

Cualificaciones

Power BI
Modelado de datos
Oracle
Administración de personal
Inglés
SOAP
SQL
Capacitación
S3
Redshift
Informatica
Liderazgo

Descripción completa del empleo

Senior Data Engineering Technical Lead – Informatica IDMC & AWS | Remote 2866

We are looking for an experienced Senior Data Engineering Technical Lead with 8+ years of experience to lead and organize a team of data engineers and IDMC administrators. This role requires strong hands-on expertise in Informatica IDMC Full Stack, AWS data services, data integration, data quality, and modern data platform architectures.

The ideal candidate will act as the technical reference for the team, driving data integration initiatives, defining technical standards and best practices, leading modernization projects, and ensuring the end-to-end delivery of enterprise data products.

Key Responsibilities:

Lead and organize a team of 9 engineers, including data integration developers and IDMC administrators.
Provide technical leadership for enterprise data integration initiatives using Informatica IDMC.
Lead the development of data pipelines using Cloud Data Integration (CDI) and Cloud Mass Ingestion (CMI).
Extract, transform, and deliver data from heterogeneous source systems into Amazon Redshift and Denodo Data Marketplace.
Define technical standards, development patterns, architectures, and best practices.
Lead end-to-end development of data products, from source discovery and ingestion to curated models and governed datasets.
Oversee platform maintenance and support, including L2/L3 incident resolution, RCA, problem and change management, monitoring, and continuous improvement.
Define and implement methodologies for ETL migration and modernization projects.
Lead workload assessment, migration strategy, conversion, validation, parallel runs, cutover, and rollback activities.
Collaborate with technical and business stakeholders and provide technical estimations and proposal reviews.
Mentor data engineering teams and promote engineering best practices.

Technical Skills Required:

Informatica IDMC – Full Stack:

Cloud Data Integration (CDI)
Mapping and Mapping Task development
Taskflow orchestration
Pushdown optimization
Parameterization and reusable assets
Hierarchical and complex-file processing
Performance tuning
Dev / QA / Production promotion

Cloud Mass Ingestion (CMI):

Database, file, application, and streaming ingestion
Initial loads and incremental CDC
Oracle
Redshift
SQL
Schema-drift handling
Amazon S3 integration

Cloud Application Integration (CAI):

Process and service-connector design
REST / SOAP APIs
Event-driven orchestration
Near-real-time integration

Cloud Data Quality (CDQ):

Data profiling
Quality rule specifications
Scorecards
Data quality remediation
Integration of quality controls into data pipelines

IDMC Administration:

Secure Agent sizing
Runtime environment groups
Connections and asset management
RBAC
License / IPU consumption monitoring
Operational Insights
Upgrade planning

Data Engineering & Cloud:

AWS Glue
Amazon S3
Amazon Redshift
AWS Step Functions
Amazon Athena
AWS Lake Formation
AWS SageMaker
AWS Bedrock
AWS Secrets Manager
Databricks / Lakehouse
Medallion Architecture: Bronze / Silver / Gold
Data modeling
Semantic layers
Power BI

Nice to Have:

Terraform
CloudFormation
Informatica AI-assisted development / CLAIRE
Informatica Cloud Data Integration Developer Professional Certification
Informatica IDMC Foundation
Informatica CDGC Foundation
IDMC for Databricks Foundation
Informatica Cloud Data Governance & Catalog Professional Certification

Qualifications:

8+ years of professional experience
Proven experience leading data engineering teams
Strong hands-on experience with Informatica IDMC Full Stack
Experience with enterprise data platforms and cloud environments
Experience in financial or highly regulated environments
Experience mentoring teams of 5+ engineers
Strong technical leadership and stakeholder management skills
Advanced English (mandatory)

Location & Schedule:

Remote position
Candidates must currently reside in Mexico
Monday to Friday, 09:00 – 18:00 hrs
Advanced English is mandatory

Benefits:

Attractive Salary + Premium Benefits
Performance bonuses, grocery coupons, and savings are found.
Aguinaldo, premium vacations, and vacations paid
SGMM Medical insurance, family, and Life insurance.

Candidates must include their compensation expectations in their applications and resumes in English.

Interested? Apply now through this link:

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