Cloud Data Engineer Jobs in Massachusetts
Cloud Data Engineer jobs in Massachusetts are among the most actively recruited technology roles in the state, with demand concentrated in life sciences, financial services, healthcare, and enterprise software from entry-level positions through staff and principal engineer. Boston, Cambridge, and Waltham are the primary hiring centers, where employers such as Biogen, Liberty Mutual, and Fidelity Investments maintain significant data engineering teams. The most sought-after specializations in Massachusetts listings include cloud pipeline architecture, real-time data streaming, and analytics infrastructure on AWS and Azure. Find a role that fits below and apply directly.
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Description
Director — Data, Cloud & AI Architecture
Private Equity Performance Improvement (PEPI) Technology, Alvarez & Marsal
Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.
A&M's Private Equity Performance Improvement Services (PEPI) practice focuses on serving upper middle market and large cap private equity firms who have engaged A&M to help improve operating results at their portfolio companies ($50M–$1B+ revenue range).
Our PEPI services include:
- IT / Product / Engineering [Technology Services]
- CDD/Strategy
- Interim Management
- Merger Integration & Carve-outs
- Rapid Results
- Supply Chain
- CFO Services
How you will contribute
A&M's PEPI Technology group advises private equity investors and their portfolio companies on the technology decisions that move enterprise value. This role covers data and cloud architecture, including AI and ML readiness and risk. Depending on the engagement, you'll own that workstream inside a broader technology assessment, or run a focused data, cloud, and AI engagement day to day under a Senior Director or Managing Director.
Data, cloud-based technology systems, and the risks and opportunities of AI are making this part of our practice grow quickly. The work is hands-on, diagnostic and on compressed timelines. We value operational experience highly. You will have significant exposure to the Private Equity industry, smart and accomplished colleagues across the company, and a nearly limitless variety of technical systems.
- Own the data, cloud, and AI architecture workstream — Define data requests, review architecture and infrastructure artifacts, and reach a supportable view inside a business transaction timeline. On focused engagements, you will run the work day-to-day: direct the team, manage the client working relationship, align with other practice areas in the firm, and deliver the final product.
- Assess the architecture to determine if these technical systems support the business strategy and investment thesis, its costs and any risks. This includes scalability, extensibility, stability, technical debt, security posture, run-rate cost and its trajectory.
- Evaluate data quality and AI readiness — Determine what data exists, how it is governed, whether it represents business and/or financial opportunity, and the overall use of AI within client technology organizations and their products.
- Translate findings into financial and strategic terms — Translate findings and your point of view into terms non-technologists can understand, especially financial terms such as EBITDA impact, capex versus opex, time to value, and execution risk.
- Shape the analytical standard — A&M has deep experience codifying how engagements run. This role will help shape how those playbooks are adapted for this rapidly emerging area of client interest. Once defined, it runs as a productized offering with deliberately limited flex.
- Work closely with A&M colleagues — Be a constructive partner with colleagues across the Technology Services organization and many performance improvement teams. You will help evangelize how this type of analysis answers critical questions and be a trusted steward of shared client relationships. A hands-on colleague from pitch through final delivery.
Qualifications
- 10+ years in hands-on technology roles with depth in cloud and data architecture. You've designed, built, and operated these systems, and can speak to specific decisions you made regarding tradeoffs, investment, and stakeholder management.
- Education undergraduate degree in computer science, information systems, engineering, or a related technical field strongly preferred; MBA or advanced degree preferred
- Ability to reach a defensible conclusion on incomplete information under time pressure and defend it to executives with high standards for quality. Consulting experience preferred, not required.
- Direct experience with technical due diligence, especially exposure to pre-transaction analysis (buy or sell-side), post-merger integration, or the PE ecosystem.
- Experience designing, building, and leading enterprise-scale cloud data platform and modern data architecture initiatives, from discovery through delivery.
- Strong communicator who builds credibility quickly with internal relationships. Your default is to be a trusted partner to other A&M teams as much as to clients.
- Comfort executing a standardized methodology, and willingness to help shape it.
- AI/ML platform experience a plus: production model deployment, feature and data pipelines, or AI readiness assessment.
- Willingness to travel as engagements require.
- Experience working with private equity firms or PE-backed portfolio companies, with understanding of deal timelines, value creation plans, and exit preparation
Compensation: $150,000 – $225,000 base salary annually, dependent on education, experience, skills, and geography, plus a discretionary bonus program based on individual and firm performance. Please ask your recruiter for details.
Your Journey at A&M
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person's unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M.
Benefits Summary
Regular employees working 30 or more hours per week are entitled to participate in Alvarez & Marsal Holdings' fringe benefits: healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages, a 401(k) retirement savings plan with discretionary employer contribution, paid vacation, personal days, 72 hours sick time, 10 federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type.
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Where Massachusetts roles are concentrated, by current openings.
Cloud Data Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
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What Massachusetts Employers Look For
The qualifications that appear most often in cloud data engineer jobs across Massachusetts.
- Bachelor's degree in computer science, data engineering, or a related technical field
- Proficiency with at least one major cloud platform such as AWS, Azure, or Google Cloud
- Experience building and maintaining data pipelines using tools like Apache Spark or Kafka
- Hands-on skill with SQL and at least one scripting language, typically Python
- Familiarity with data warehousing solutions such as Snowflake, Redshift, or BigQuery
- Understanding of CI/CD practices and infrastructure-as-code tools such as Terraform
Cloud Data Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a cloud data engineer in Massachusetts?
Cloud data engineering in Massachusetts has no state-issued license or registration requirement, so the path runs through education and demonstrated technical skill. Most Massachusetts employers expect a bachelor's degree in computer science, information systems, or a related field, though strong candidates from bootcamps or self-study programs are hired at smaller firms. Building a portfolio of pipeline and cloud infrastructure projects, earning a vendor cloud certification, and targeting the state's life sciences or financial services sectors gives candidates a clear competitive edge.
How much do cloud data engineers make in Massachusetts?
Cloud data engineers in Massachusetts earn a median of about $161,650 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $123,670 for the lowest 10% to over $220,910 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire cloud data engineers in Massachusetts?
Employers hiring cloud data engineers in Massachusetts right now include Teradyne, Accenture, and Salesforce, based on current listings on Migrate Mate as of November 2026. Massachusetts's concentration of healthcare and biotech companies alongside large financial institutions means hiring tends to be consistent year-round rather than seasonal.
Which Massachusetts cities have the most cloud data engineer jobs?
Boston, Quincy, and North Reading post the most cloud data engineer openings in Massachusetts. Boston and Cambridge anchor the market because of their dense concentration of technology firms, major hospital systems, and biotech campuses, while Waltham and Burlington draw hiring from the Route 128 corridor, where established technology and financial services companies have maintained offices for decades.
Are there remote cloud data engineer jobs in Massachusetts?
Yes, and more than most fields. Cloud data engineering is largely software and infrastructure work that transfers well to remote settings, so a meaningful share of openings allow off-site work. About 67% of cloud data engineer openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting broader technology industry norms. Pipeline development and cloud architecture tasks are the most frequently offered in fully remote arrangements, while on-call infrastructure support roles lean toward hybrid.
How can I get hired as a cloud data engineer in Massachusetts with little or no experience?
The most realistic entry path is landing a data analyst or junior data engineer role and building cloud infrastructure experience on the job. Massachusetts employers in biotech and financial services, including companies along the Route 128 corridor, regularly hire associate or junior data engineers and provide structured onboarding for new graduates. Pursuing an AWS or Azure fundamentals certification, completing a capstone pipeline project on a public cloud platform, and targeting companies with rotational technology programs gives candidates without prior titles a credible technical record before their first interview.
Where can I find and apply to cloud data engineer jobs in Massachusetts?
You can find and apply to cloud data engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings updated in real time. Search the available roles, identify the ones that match your experience and target location, and apply directly to each position through the listing.
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