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Profisee Jobs (NOW HIRING)

Solution Architect - Reltio MDM

New York, NY · Remote

$69 - $90.75/hr

Experience with Informatica, Semarchy, Profisee, or other MDM platforms. * Experience with Azure Data Factory, Microsoft Fabric, Databricks, or Snowflake. * Knowledge of data governance frameworks ...

... Profisee - Designing taxonomies and item catalog categories - Architecting end-to-end MDM solutions - Experience with MDM publication and consolidation - Knowledge of data quality systems and ...

... Profisee - Designing taxonomies and item catalog categories - Architecting end-to-end MDM solutions - Experience with MDM publication and consolidation - Knowledge of data quality systems and ...

Possess strong hands-on expertise in Stibo, Profisee or other leading SaaS MDM platforms, combined with strong client facing, leadership, and delivery skills * Guide development teams on API design ...

... Profisee - Designing taxonomies and item catalog categories - Architecting end-to-end MDM solutions - Experience with MDM publication and consolidation - Knowledge of data quality systems and ...

... Profisee - Designing taxonomies and item catalog categories - Architecting end-to-end MDM solutions - Experience with MDM publication and consolidation - Knowledge of data quality systems and ...

... Profisee - Designing taxonomies and item catalog categories - Architecting end-to-end MDM solutions - Experience with MDM publication and consolidation - Knowledge of data quality systems and ...

... Profisee - Designing taxonomies and item catalog categories - Architecting end-to-end MDM solutions - Experience with MDM publication and consolidation - Knowledge of data quality systems and ...

... Profisee - Designing taxonomies and item catalog categories - Architecting end-to-end MDM solutions - Experience with MDM publication and consolidation - Knowledge of data quality systems and ...

Experience with Snowflake, dbt, Purview, Profisee, or Erwin * Familiarity with NAIC guidelines, state insurance data regulations, and financial/actuarial data standards * Experience building ...

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Profisee information

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$40K

$79.1K

$120K

How much do profisee jobs pay per year?

As of Jun 26, 2026, the average yearly pay for profisee in the United States is $79,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $90,500.00 per year, depending on experience, location, and employer.

What is the difference between Profisee vs Data Analyst?

AspectProfiseeData Analyst
Required credentialsData management certifications, database knowledgeStatistics, data analysis, and visualization skills
Work environmentData management teams, enterprise software settingsBusiness units, analytics teams, reporting environments
Industry usageData governance, master data managementData interpretation, reporting, insights generation

Profisee professionals focus on data management and master data governance, often working with enterprise software. Data Analysts interpret data, create reports, and provide insights. While both roles handle data, Profisee specialists concentrate on data quality and integration, whereas Data Analysts focus on analysis and visualization.

More about Profisee jobs
What cities are hiring for Profisee jobs? Cities with the most Profisee job openings:
What states have the most Profisee jobs? States with the most job openings for Profisee jobs include:
Infographic showing various Profisee job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $79,117 per year, or $38 per hour.

Senior Data Quality Engineer / QA Automation Engineer with (Databricks, PySpark & AI/ML)

BTI

Hyattsville, MD • On-site

Full-time

Posted 16 days ago


Job description

Business Technology Integrators (BTI) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) with more than 25 years of experience delivering innovative IT solutions to the Federal Government. We are committed to excellence, innovation, and supporting mission-critical programs that serve our nation.
 

Role Summary:
We are seeking a highly skilled and self-directed Senior QA Engineer/SDET to drive comprehensive quality engineering for our Enterprise Data & Analytics Platform. Reporting into the Sr. Director – Analysis, Change and Quality, this role will own and implement advanced automated testing strategies across the entire data lifecycle, ensuring data reliability, data quality, and AI/BI model accuracy. This role requires deep technical expertise in automation tools to test data pipelines in data bricks and data quality frameworks.

Key Responsibilities:

· Architect and implement robust automated testing frameworks leveraging PySpark and Databricks-native tools for data validation across Raw, Curated, and Mart layers.

· Design and implement data quality validation frameworks, including checks on accuracy, completeness, and consistency across transformation layers.

· Create advanced data quality KPIs, integrating them into automated dashboards to track quality trends across layers.

· Design metadata-driven tests, integrating with CI/CD pipelines, with coverage on all transformation layers.

· Lead development of QA user stories and acceptance criteria, precisely defining test scenarios for ingestion, transformation, and consumption layers.

· Perform complex data reconciliation testing across 10+ source systems, ensuring accuracy, completeness, and consistency from source through Mart.

· Own the end-to-end testing lifecycle (QA, Staging, Production), defining what and when to test at each stage and ensuring sign-off criteria are met.

· Partner closely with data engineers to troubleshoot pipeline failures, connectivity issues, and performance bottlenecks.

· Set standards for data lineage and auditability, ensuring every transformation step can be validated and traced.

· Plan, facilitate, and manage User Acceptance Testing (UAT) involving business users for data visualization tools such as Tableau running on Databricks.

· Prepare UAT test scenarios aligned with business use cases, guide users through testing, and gather actionable feedback.

· Drive defect triage, resolution, and retesting, ensuring readiness for production release.

· Work within a SAFe Agile framework, participating in PI planning, sprint ceremonies, and cross-team coordination. Collaborate with DevOps, Data Engineers, Data Scientists, and Product Owners to integrate QA into CI/CD pipelines.

· Provide regular updates to project and senior management on progress of QA milestones and tasks.

Required Skills & Expertise:

· Minimum of 5+ years of solid experience in Data Engineering with proven experience testing and validating data pipelines in Databricks, including medallion architecture.

· Proficient in creating testing framework for validating Data Quality.

· Proficient in Databricks notebook, PySpark, Python, SQL, and data quality testing.

· Expert with testing AI/BI models, ensuring data quality from feature engineering through model scoring.

· Experience in CI/CD pipelines (e.g., Azure DevOps) for automated test execution.

· Strong knowledge of data governance (data lineage, audit trails, compliance testing).

· Excellent problem-solving skills with the ability to work in a fast-paced environment.

· Experience with tools such as Azure Purview and Profisee MDM is preferred.

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