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Executive Azure Data Factory Developer Jobs in Massachusetts

As a pioneering developer and leading producer of fiber lasers and amplifiers, we are committed to ... Hands-on experience with Azure data ecosystem (e.g., Azure Data Factory, Synapse, Fabric, Data Lake)

As a pioneering developer and leading producer of fiber lasers and amplifiers, we are committed to ... Hands-on experience with Azure data ecosystem (e.g., Azure Data Factory, Synapse, Fabric, Data Lake)

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

We're looking for a Data Engineer who is passionate about modern data platforms, cloud technologies ... Experience with ETL platforms such as Azure Data Factory, Informatica, SnapLogic, or Boomi.

Data Engineer

Attleboro, MA · On-site

$100K - $110K/yr

Partner with executive leadership, program directors, finance, HR, and clinical leadership to ... Build and maintain data pipelines and integrations using Power Automate, Azure Data Factory, Python ...

Azure Data Architect - Snowflake

Boston, MA · On-site

$69.25 - $89/hr

Need a snowflake data architect with Azure Cloud Experience and Agentic AI, Senior Data Architect ... engineers, analysts, and other stakeholders to gather requirements and translate them into ...

New

Collaborate across data engineering, application, and business teams to drive seamless end-to-end ... Azure Data Factory * Knowledge of AI governance frameworks, responsible AI principles, and ...

New

Collaborate across data engineering, application, and business teams to drive seamless end-to-end ... Azure Data Factory * Knowledge of AI governance frameworks, responsible AI principles, and ...

New

Senior Data Engineer

Boston, MA · Hybrid

$115K - $156K/yr

Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks ... Git / Azure DevOps * Deep Spark internals (DAG optimization, spill analysis, skew handling) * Delta ...

Data Engineering & Pipeline Development * Build ELT/ETL pipelines using modern cloud-native tools ... Familiarity with tools such as dbt, Airflow, Azure Data Factory, or similar. * Knowledge of MDM ...

Data Architect

Boston, MA · On-site

$96K - $130K/yr

Data Engineering & Pipeline Development * Build ELT/ETL pipelines using modern cloud-native tools ... Familiarity with tools such as dbt, Airflow, Azure Data Factory, or similar. * Knowledge of MDM ...

Knowledge of CI/CD and DevOps practices for data engineering * Experience with other cloud services (e.g., Pub/Sub, Cloud Functions, Vertex AI, Azure Data Factory, AWS Glue). * Understanding of RAG ...

Showing results 41-60

Executive Azure Data Factory Developer information

What is the difference between Executive Azure Data Factory Developer vs Azure Data Factory Developer?

AspectExecutive Azure Data Factory DeveloperAzure Data Factory Developer
CertificationsAzure Data Engineer, Azure Data Factory certificationsAzure Data Engineer, Azure Data Factory certifications
Work EnvironmentLeadership roles, strategic planning, cross-team collaborationTechnical implementation, data pipeline development, coding
Industry UsageUsed in organizations with senior data management needsUsed across various industries for data integration tasks

The Executive Azure Data Factory Developer typically combines technical expertise with strategic leadership, overseeing data projects and guiding teams. In contrast, the Azure Data Factory Developer focuses on building and maintaining data pipelines. Both roles require similar certifications, but their responsibilities differ in scope and seniority.

What cities in Massachusetts are hiring for Executive Azure Data Factory Developer jobs? Cities in Massachusetts with the most Executive Azure Data Factory Developer job openings:

Vice President, Data Architect, Data Service and Governance

Income Research Management

Boston, MA

$69.25 - $89.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 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.