

Vsolutions Technologies
Director of Data Engineering & Governance (AWS Redshift / Informatica IDMC)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Director of Data Engineering & Governance with a contract length of "unknown," offering a pay rate of "unknown." Key skills include AWS Redshift, Informatica IDMC, and data governance. Requires 10+ years in data management and leadership experience.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
June 3, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Los Angeles, CA
-
π§ - Skills detailed
#Leadership #AWS (Amazon Web Services) #Data Architecture #Data Lineage #Data Security #Azure cloud #Informatica #Microsoft Azure #Security #Automation #SQL (Structured Query Language) #PCI (Payment Card Industry) #Strategy #Compliance #Data Modeling #Metadata #"ETL (Extract #Transform #Load)" #Jenkins #Python #Data Quality #Azure #Cloud #Data Management #Computer Science #DevOps #Data Engineering #Data Strategy #GitHub #AI (Artificial Intelligence) #Redshift #Scripting #Data Governance
Role description
About the Role
We are seeking an experienced Director of Data Management to lead our enterprise-wide data warehousing, data governance, and AI-driven data strategy initiatives. This is a strategic leadership role responsible for defining and executing the organization's data architecture roadmap while ensuring data quality, security, compliance, and operational excellence across all business units.
The ideal candidate will bring deep expertise in AWS Redshift, Informatica IDMC, Data Governance, Data Warehousing, ETL/ELT Architecture, and enterprise-scale data platforms. This leader will partner closely with Technology, Product, Risk, Compliance, Finance, and Executive Leadership teams to drive data modernization, governance, and AI-enabled innovation.
Required Qualifications
β’ Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
β’ 10+ years of experience in Data Warehousing, Data Engineering, Data Architecture, or Analytics platforms.
β’ 5+ years of leadership experience managing enterprise data teams.
β’ Strong hands-on expertise with:
β’ AWS Redshift
β’ Informatica IDMC
β’ Cloud-based ETL/ELT Architecture
β’ SQL Performance Tuning
β’ Data Modeling
β’ Metadata Management
β’ Data Quality Frameworks
β’ Data Lineage Tools
β’ Experience implementing enterprise Data Governance programs.
β’ Strong understanding of Data Security, Privacy, and Compliance standards.
β’ Experience with Python scripting and automation.
β’ Experience building and supporting large-scale cloud data platforms.
β’ Familiarity with CI/CD pipelines and DevOps practices (Jenkins, GitHub Actions).
β’ Excellent communication, stakeholder management, and executive presentation skills.
β’ Proven ability to lead enterprise-wide initiatives and influence cross-functional teams.
Preferred Qualifications
β’ Financial Services or FinTech industry experience.
β’ Experience with AWS and Azure cloud platforms.
β’ Microsoft Azure Data Engineer or other cloud certifications.
β’ Knowledge of regulatory frameworks including:
β’ FRB
β’ BSA/AML
β’ UDAAP
β’ SOC 2
β’ PCI DSS
β’ Experience with Generative AI, AI governance, and enterprise AI adoption initiatives.
β’ Experience managing large-scale enterprise data modernization programs.
Must-Have Skills (Non-Negotiable)
β’ Strong hands-on experience with Informatica IDMC
β’ Strong hands-on experience with AWS Redshift
β’ Proven leadership and people management experience
β’ Enterprise Data Warehousing and Data Governance expertise
β’ Strong stakeholder management and executive communication skills
β’ Ability to drive strategic initiatives, not just operate as an individual contributor
β’ AI literacy and experience leveraging AI technologies in data management environments
About the Role
We are seeking an experienced Director of Data Management to lead our enterprise-wide data warehousing, data governance, and AI-driven data strategy initiatives. This is a strategic leadership role responsible for defining and executing the organization's data architecture roadmap while ensuring data quality, security, compliance, and operational excellence across all business units.
The ideal candidate will bring deep expertise in AWS Redshift, Informatica IDMC, Data Governance, Data Warehousing, ETL/ELT Architecture, and enterprise-scale data platforms. This leader will partner closely with Technology, Product, Risk, Compliance, Finance, and Executive Leadership teams to drive data modernization, governance, and AI-enabled innovation.
Required Qualifications
β’ Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
β’ 10+ years of experience in Data Warehousing, Data Engineering, Data Architecture, or Analytics platforms.
β’ 5+ years of leadership experience managing enterprise data teams.
β’ Strong hands-on expertise with:
β’ AWS Redshift
β’ Informatica IDMC
β’ Cloud-based ETL/ELT Architecture
β’ SQL Performance Tuning
β’ Data Modeling
β’ Metadata Management
β’ Data Quality Frameworks
β’ Data Lineage Tools
β’ Experience implementing enterprise Data Governance programs.
β’ Strong understanding of Data Security, Privacy, and Compliance standards.
β’ Experience with Python scripting and automation.
β’ Experience building and supporting large-scale cloud data platforms.
β’ Familiarity with CI/CD pipelines and DevOps practices (Jenkins, GitHub Actions).
β’ Excellent communication, stakeholder management, and executive presentation skills.
β’ Proven ability to lead enterprise-wide initiatives and influence cross-functional teams.
Preferred Qualifications
β’ Financial Services or FinTech industry experience.
β’ Experience with AWS and Azure cloud platforms.
β’ Microsoft Azure Data Engineer or other cloud certifications.
β’ Knowledge of regulatory frameworks including:
β’ FRB
β’ BSA/AML
β’ UDAAP
β’ SOC 2
β’ PCI DSS
β’ Experience with Generative AI, AI governance, and enterprise AI adoption initiatives.
β’ Experience managing large-scale enterprise data modernization programs.
Must-Have Skills (Non-Negotiable)
β’ Strong hands-on experience with Informatica IDMC
β’ Strong hands-on experience with AWS Redshift
β’ Proven leadership and people management experience
β’ Enterprise Data Warehousing and Data Governance expertise
β’ Strong stakeholder management and executive communication skills
β’ Ability to drive strategic initiatives, not just operate as an individual contributor
β’ AI literacy and experience leveraging AI technologies in data management environments






