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Markit Edm Jobs (NOW HIRING)

Liberty Mutual

Senior Data Engineer

Boston, MA · On-site +1

$115K - $156K/yr

Work closely with the development team in building innovative, API first, cloud-native solutions using the AWS platform, Markit EDM, Snowflake, Snaplogic, Python, Rest APIs, etc. * Continuously ...

MARS Solutions Group

Financial Data Analyst

Boston, MA · On-site

Experience with major EDM (Enterprise Data Management) platforms (e.g., GoldenSource, IHS Markit/S&P EDM, SimCorp). About MARS Solutions Group: MARS Solutions Group provides a range of opportunities ...

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How much do markit edm jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for markit edm in the United States is $22.69, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $25.96 per hour, depending on experience, location, and employer.

What are the responsibilities of a Markit EDM developer?

A Markit EDM developer is responsible for designing, developing, and maintaining electronic data management solutions using the Markit EDM platform. They create data models, automate data workflows, and ensure data accuracy and security, often working with SQL, scripting languages, and integration tools. Strong problem-solving skills and knowledge of financial data processes are essential for this role.

Which IT job is the highest paid?

In the IT industry, roles such as Chief Information Officer (CIO), Solutions Architect, and Cloud Engineer tend to be among the highest paid, often earning six-figure salaries. These positions typically require extensive experience, advanced certifications, and expertise in areas like cybersecurity, cloud computing, or enterprise systems.

What is a Markit EDM job?

A Markit EDM job involves working with the Enterprise Data Management (EDM) platform by IHS Markit, which helps organizations manage, validate, and distribute data efficiently. Responsibilities typically include configuring data workflows, integrating data sources, ensuring data quality, and supporting business users in their data needs. Professionals in this role often work with financial institutions, asset managers, and other data-intensive industries to streamline data processes.

What is Markit EDM used for?

Markit EDM (Enterprise Data Management) is used to automate and streamline data integration, validation, and management processes within financial services. It helps ensure data accuracy, consistency, and compliance across systems, often requiring knowledge of data workflows and tools like data modeling and scripting.

What are the typical daily responsibilities of a Markit EDM specialist?

A Markit EDM specialist is typically responsible for configuring and maintaining the EDM platform, managing data integration processes, and troubleshooting data-related issues. This role involves working closely with business analysts, IT teams, and end-users to understand requirements and ensure smooth processing of critical data feeds. Daily tasks may include implementing data quality controls, performing data validations, creating or modifying workflows, and supporting system upgrades. Effective collaboration and a proactive approach to problem-solving are essential, as the role is integral to maintaining high-quality, reliable data within the organization.

What are the key skills and qualifications needed to thrive in the Markit Edm position, and why are they important?

To thrive as a Markit EDM professional, you need a solid understanding of data management principles, experience with Markit EDM software, and often a background in finance or technology. Familiarity with SQL, ETL processes, and data integration tools, as well as certifications like Markit EDM specialist, are highly valued. Strong analytical thinking, problem-solving ability, and effective communication are important soft skills for collaborating with stakeholders. These skills enable efficient management of complex data workflows and ensure data accuracy and compliance in financial services environments.

What jobs pay $400 an hour?

Jobs that can pay $400 an hour typically include specialized roles such as high-level consultants, surgeons, anesthesiologists, or experienced legal professionals. These positions often require advanced skills, extensive experience, and sometimes certification or licensing, and they usually involve working in high-stakes or private settings. Such high hourly rates are uncommon and usually associated with expert-level or niche professions.
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Markit Edm jobs near you
Infographic showing various Markit Edm job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 32% Full Time, 32% Part Time, 14% Contract, and 21% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $47,200 per year, or $22.7 per hour.
Vice President, Data Architect, Data Service and Governance

Vice President, Data Architect, Data Service and Governance

Income Research Management

Boston, MA • On-site

$69.25 - $89.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Income Research + Management

Income Research + Management is a Boston-based, privately owned, fixed income asset management firm. IR+M delivers strong performance and consistent results through a rigorous, bottom-up security selection process and strives to provide best-in-class client service to our 800+ institutional and private wealth clients.

Founded in 1987 and located in the heart of Boston’s financial district, IR+M employs 200 full time professionals and currently manages $135+ Billion in assets. We offer industry-leading benefits, as well as a challenging, collegial, and rewarding workplace with high levels of employee engagement.

Open Position: VP, Data Architect, Data Service and Governance

Overview

The VP, Data Architect role is a hands-on technical leader within the Enterprise Data Service and Governance Team. This individual will design, build, and support modern data architectures that span on-premises and Azure cloud environments. This role requires deep expertise in investment management data domains. Strong hands-on data architecture skills, and the ability to translate complex investment and operational requirements into robust data models and integration patterns.

The right candidate brings deep expertise across the full data stack — from logical to physical modeling, data warehouse to data lake, analytics to reporting — and knows how to match the right platform to support the firm’s investment management and operation functions. This is a thinker and a doer role: design, plan, implement, and support.

Key Responsibilities

Architecture & Design

  • Architect end-to-end data solutions across on-prem and Azure cloud platforms, applying sound judgment on platform fit based on business requirements, cost, and complexity
  • Lead data modeling initiatives, including logical, physical, dimensional design, across various platforms of data marts, data warehouses, and data lake
  • Design and implement multi-layer ELT/ETL pipelines using Azure-native services
  • Evaluate architectural tradeoffs balancing delivery velocity, data integrity, operational risk, and long-term maintainability
  • Translate complex business and investment requirements into robust, scalable data models and integration patterns
  • Evaluate new data product and platform
Hands-On Delivery
  • Perform hands-on development alongside architecture and design work
  • Conduct code and design reviews, and suggest and validate unit test cases
  • Contribute to the evolving data platform by evaluating, prototyping, and adopting new technologies
Leadership & Collaboration
  • Collaborate with the Head of Data Services and Governance and Business/Data Analysts to define project design and influence requirements
  • Provide technical direction, lead design discussions and resolve conflicts
  • Contribute to the short- and long-term data technology roadmap
  • Write and maintain domain documentation
Production Support & Issue Resolution
  • Participating in on-call rotation for operational support
  • Triage and troubleshoot data discrepancies, reporting breaks, and system issues
  • Work with stakeholders to resolve root causes of operational and data errors
  • Support testing and validation of system enhancements before release
  • Assist with User Acceptance Testing (UAT) for operational system upgrades or enhancements
  • Communicate clearly with business users on issue status and resolution timelines

Required Skills Experience

Core Azure Platform

  • Azure Data Factory, Azure SQL, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks
  • Cloud-native ELT/ETL pipeline design and implementation
Data Architecture & Modeling
  • Datamart/lakehouse architecture, multi-layer ELT design
  • Dimensional modeling: star schemas, facts, dimensions, and analytical data structures
  • Data models for reporting, analytics, and downstream consumption layers
DevOps & Engineering Practices
  • CI/CD pipelines and automated deployment for data engineering workloads
  • Git-based source control, branching, pull requests, and release workflows via Azure DevOps and/or GitHub
  • Azure Key Vault, managed identities, and RBAC for secure data access
Platform & Domain Knowledge
  • Strong understanding of available data platforms (on-prem and cloud) with ability to right-fit technology to business need
  • Experience with 3rd party Enterprise Data Management systems (Markit EDM, Asset Control, Golden Source, or similar)
  • Deep knowledge of buy-side asset management data flows is a strong plus
  • Ability to work in a fast-paced, agile environment managing multiple priorities simultaneously
  • Strong written and verbal communication skills
Emerging Technology & AI
  • AI-aware mindset with the ability to identify opportunities to embed intelligent automation within data pipelines and architecture
  • Experience applying AI to data quality use cases such as anomaly detection, exception handling, and automated reconciliation
  • Familiarity with LLM-based tooling (e.g., GitHub Copilot, ChatGPT, Claude) to accelerate data engineering and architecture delivery
  • Understanding of responsible AI principles, governance, and compliance considerations in a regulated financial services environment
Nice to Have
  • Experience with fixed income data domains including security master, pricing, analytics, benchmarks, or portfolio master
  • Background in BI reporting and data model design for enterprise reporting layers
Requirements
  • Bachelor’s degree in Computer Science, Information Systems, Finance, Mathematics, Engineering, or related field — or equivalent practical experience.
  • 10+ years of relevant experience is required.
What We Offer

Joining the IR+M team means being part of a collaborative, mission-driven organization that values investment, respect, positivity, and motivation. You’ll have the opportunity to make a direct impact by improving operational efficiency and strengthening data integrity across the firm.

We offer:

  • Hybrid work environment
  • Medical, dental, vision, and life insurance
  • 401(k) with safe harbor (3%) and discretionary company contribution (12%)
  • Tuition reimbursement up to $15,000 per year
  • $5,000 employee referral bonus
  • Business-casual environment (including jeans)
  • Generous paid time off and leave programs
  • Fitness, health, and composting reimbursements
  • Eligibility for discretionary bonus program

Compensation is based on experience, skill set, and business needs.

Base Salary Range: $180,000-200,000

Annual Performance Bonus: This role is eligible for an annual performance-based bonus

Applicants must be authorized to work in the U.S. for any employer. IR+M is unable to sponsor or assume sponsorship of employment visas.