Sr. Master Data Management Engineer - Profisee

Vaco by Highspring; Coppell (TX); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) retirement plan

Potential discretionary bonuses

Job summary

A leading staffing and consulting firm is seeking a Sr. Master Data Management Engineer to implement a Profisee-based MDM platform in a hybrid role. The ideal candidate will have 7–10 years of MDM experience, with strong expertise in Profisee and AWS, and must have a background in financial services. Responsibilities include developing data pipelines and ensuring compliance within a regulated environment. Competitive compensation between $75-$100/hour and a pathway to full-time employment is offered.

Qualifications

• 7–10 years of prior experience in master data management.
• 5+ years leading Profisee MDM initiatives in enterprise environments.
• 5+ years of experience with AWS Cloud Services and AWS Glue.
• Hands-on experience with streaming services like Kafka and Flink.
• Experience in data warehouse environments using Snowflake.
• Proficiency in Python for automation.

Responsibilities

• Design and implement data ingestion workflows.
• Maintain integrations between Profisee and AWS services.
• Develop and support services for publishing golden records.
• Build and manage CI/CD pipelines for Profisee.
• Monitor and optimize end-to-end integration architecture.

Skills

Master Data Management

Profisee SDK

AWS

Kafka

Flink

Python

Snowflake

Job description

Job Title

Sr. Master Data Management Engineer (Profisee)

Job Type

Long-term contract (12-18 months) with the ability to convert to full-time employment

Worksite Expectations

Hybrid onsite 2-days per week in Coppell, TX

Start Date

February 2026

W2 Hourly Pay Rate

$75.00 - $100.00 + / hour (W2)

Salary Conversion

$140,000 - $180,000 + full benefits

About the Opportunity

Vaco by Highspring is seeking experienced Master Data Management (MDM) Engineers to lead the hands‑on implementation of a modern Profisee‑based MDM platform within a cloud ecosystem spanning Azure, AWS, Snowflake, and Kafka. In this role, you will be the primary MDM Implementer, partnering with a Solution Architect and a shared‑services team to design and deliver robust MDM solutions, collaborate directly with business users, and ensure data quality and governance in a highly regulated environment. This position is hybrid onsite 2 days per week in Coppell, TX; candidates must pass a criminal background check and drug screen and be legally authorized to work in the United States, as our client is unable to sponsor at this time.

Job Description

This role is responsible for architecting, building, and supporting the technical foundation of the Master Data Management (MDM) platform. The engineer will develop and maintain data pipelines, system integrations, and feedback mechanisms across AWS, Snowflake, Kafka, and Profisee, ensuring scalable and reliable data flow throughout the ecosystem.

Primary Responsibilities

• Design and implement data ingestion workflows, including batch, API‑based, and streaming pipelines.
• Configure and persist matching and survivorship logic to support auditability and governance requirements.
• Establish and maintain seamless integrations between Profisee, AWS services, and Snowflake.
• Develop and support outbound services that publish golden records to downstream systems.
• Build and manage CI/CD pipelines to automate Profisee deployments and enhancements.
• Proactively monitor, troubleshoot, and optimize the end‑to‑end integration architecture.
• Lead integration initiatives that include developing and enhancing data pipelines leveraging Kafka, Flink, AWS Glue, Iceberg, and Snowflake, and optimize throughput, reliability, and scalability of streaming and batch integrations.
• Ensure governance and compliance across master data management platforms ensuring all pipelines and deployments adhere to established technical, security, and compliance standards.
• Apply advanced development practices using AWS services, Kafka, CI/CD tooling, and the Profisee SDK.
• Lead initiatives to develop Key Performance Indicators (KPIs) that include stability and reliability of data pipelines, latency across integrations and data flows, CI/CD pipeline execution success and deployment quality.

Must Have Requirements

• 7–10 years of prior experience and/or expertise in master data management (MDM).
• 5+ years of expertise in leading Profisee MDM initiatives across large enterprise level environments (working with Profisee SDK - Software Development Kit).
• 5+ years of experience and/or expertise in AWS Cloud Computing Services, working with AWS Glue.
• Hands‑on experience working with streaming services such as Kafka and Flink.
• Hands‑on experience working with Enterprise Data Warehouse environments, working with Snowflake and Iceberg.
• Proficiency in Python for automation.
• Prior experience working within the banking or financial services industry, working in heavily regulated environments.

Additional Information

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.