IDMC IICS Technical Lead

LTM

$100K — $130K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of hands-on experience with Informatica IDMC IICS
  • 5+ years of experience specifically with Intelligent Data Management Cloud including CDI, CAI, and CDQ
  • Strong expertise in enterprise-scale ETL/ELT solutions
  • Proficiency in Snowflake architecture, data modeling, and performance optimization
  • Experience with on-premise and cloud data integration using IDMC and Snowflake
  • Solid SQL development and optimization skills
  • Strong understanding of data governance, metadata management, and security principles.

Responsibilities

  • Design and implement enterprise-scale ETL/ELT solutions
  • Lead and mentor Data Engineering teams
  • Perform architecture and solution reviews
  • Develop scalable batch and real-time data pipelines
  • Collaborate with stakeholders to align data strategies
  • Enforce development standards and best practices
  • Drive delivery across global onshore-offshore teams.

Benefits

  • Opportunity to work onsite in a collaborative environment
  • Hands-on involvement in advanced data integration projects
  • Mentorship and leadership development opportunities
  • Exposure to cutting-edge cloud platforms and technologies
  • Engagement with key stakeholders in driving data strategy.
Full Job Description
Role description

Role IDMC IICS Technical Lead

Location Cincinnati OHIO Onsite

Technical Skills Primary

Strong handson experience of minimum 10 years with Informatica with 5 year expererince in Intelligent Data Management Cloud IDMC including CDI CAI CDQ Data Governance and Metadata Management

Expertise in designing developing and implementing enterprisescale ETLELT solutions using IDMCIICS

Strong experience with Snowflake including architecture data modeling SnowSQL virtual warehouses streams tasks dynamic tables data sharing and performance optimization

Experience integrating data across cloud and onpremise platforms using IDMC and Snowflake

Strong proficiency in SQL development query optimization data transformations and database performance tuning

Experience designing scalable batch and realtime data pipelines

Deep understanding of Data Warehousing Dimensional Modeling Data Lake and Modern Data Platform architectures

Strong knowledge of Azure AWS or GCP cloud platforms

Ability to perform architecture reviews solution reviews and enforce development standards and best practices

Experience leading technical teams mentoring Data Engineers and driving delivery across onshoreoffshore teams

Strong understanding of data quality governance metadata and security principles

Technical Skills Secondary Nice to have NOT MANDATORY

Experience with Python Shell Scripting Git CICD and release management practices

Experience with Snowflake Cortex Snowpark and AIML integrations

Exposure to Informatica MDM Data Catalog and Data Marketplace

Exposure to Data Quality Data Observability and Master Data Management solutions

Insurance or Financial Services domain experience

Soft Skills

Strong leadership and team management capabilities

Excellent verbal and written communication skills

Ability to collaborate effectively with business stakeholders architects and leadership teams

Strong analytical troubleshooting and problemsolving skills

Ability to manage multiple priorities and deliver under tight timelines

High level of ownership accountability and customer focus

Strong presentation documentation and stakeholder management skills

Ability to influence technical decisions and drive engineering excellence

Strong mentoring and coaching capabilities

Escalation management and conflict resolution skills

Experience managing global onshoreoffshore delivery teams

Qualifying Questions

1Does the candidate have at least 10 years of handson experience with Informatica IDMCIICS including ETLELT development and implementation using CDI CAI CDQ Data Governance or Metadata Management

2Does the candidate have strong handson experience with Snowflake including data modeling performance tuning virtual warehouses streams tasks dynamic tables and enterprisescale data integration

3Does the candidate have experience leading Data Engineering teams performing solutionarchitecture reviews and managing onshoreoffshore delivery teams

Need to productive by 03rd Aug 2026 without visa issues

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