jobapplier

Technical Lead – Informatica IDMC & AWS | Remote 2866

xideral

This job is closed: the employer no longer lists it.

Skills

Required

  • Medallion Architecture
  • Data modeling
  • leading data engineering teams
  • enterprise data platforms
  • cloud environments

Preferred

  • Informatica
  • IDMC
  • Cloud
  • Terraform
  • CloudFormation
  • Databricks Foundation
  • Amazon Redshift

Technical Lead – Informatica IDMC / Data Integration & AWS | Remote

We are looking for an experienced Technical Lead – Informatica IDMC / Data Integration 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.

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.
  • 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
  • Database, file, application, and streaming ingestion
  • Initial loads and incremental CDC
  • Oracle
  • Redshift
  • SQL
  • Schema-drift handling
  • Amazon S3 integration
  • Process and service-connector design
  • REST / SOAP APIs
  • Event-driven orchestration
  • Near-real-time integration
  • Data profiling
  • Quality rule specifications
  • Scorecards
  • Data quality remediation
  • Integration of quality controls into data pipelines
  • Secure Agent sizing
  • Runtime environment groups
  • Connections and asset management
  • RBAC
  • License / IPU consumption monitoring
  • Operational Insights
  • Upgrade planning

Requirements

  • Medallion Architecture: Bronze / Silver / Gold
  • Data modeling
  • 8+ years of professional experience
  • Proven experience leading data engineering teams
  • Experience with enterprise data platforms and cloud environments
  • Strong technical leadership and stakeholder management skills
  • Advanced English (mandatory)
  • Candidates must currently reside in Mexico
  • Monday to Friday, 09:00 – 18:00 hrs
  • Advanced English is mandatory

Preferred

  • 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
  • Strong hands-on experience with Informatica IDMC Full Stack
  • Experience in financial or highly regulated environments
  • Experience mentoring teams of 5+ engineers

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.

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
  • Semantic layers
  • Power BI

Location & Schedule

Remote position

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