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Entry Level Data Architect Jobs in Boston, MA (NOW HIRING)

Data Scientist - NYC

Boston, MA ยท On-site

$100 - $200/hr

Architect and manage analytical projects from ideation to launch * Leverage alternative data sets ... entry-level data science concepts) * Experience writing code in Python * Experience handling ...

... Service provider for Architectural, Engineering, and Legal firms, in search of entry-level ... Responsibilities โ€ข Mapping and analyzing quantitative data โ€ข Preparing management reports โ€ข ...

Data Engineer - Senior Associate

Boston, MA ยท On-site

$77K - $202K/yr

... data architecture development and database management skills to optimize data solutions ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Data Architect information

See Boston, MA salary details

$11

$76

$102

How much do entry level data architect jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for entry level data architect in Boston, MA is $76.02, according to ZipRecruiter salary data. Most workers in this role earn between $66.59 and $85.67 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in an entry level data architect position?

To thrive as an Entry Level Data Architect, you need foundational knowledge in database design, data modeling, and SQL, often supported by a degree in computer science, information systems, or a related field. Familiarity with database platforms like SQL Server, Oracle, or MySQL, and experience with data integration tools or introductory certifications (such as Microsoft Certified: Azure Data Fundamentals) are typically valuable. Strong analytical thinking, effective communication, and a willingness to collaborate make candidates stand out in this role. These skills and qualities are crucial for translating business requirements into sound data structures and working efficiently within project teams.

What is an entry level data architect?

An Entry Level Data Architect is responsible for assisting in the design, development, and management of an organization's data infrastructure. They work with senior data architects and engineers to create efficient database structures, ensure data quality, and support data integration processes. This role involves using database technologies, data modeling techniques, and programming languages to optimize data storage and retrieval. Entry-level data architects often collaborate with IT teams to maintain data security and governance. It is a foundational role that provides experience in database design, big data technologies, and cloud-based data solutions.

What are the typical daily responsibilities of an entry level data architect?

As an Entry Level Data Architect, you can expect to spend your days assisting in the design and implementation of database solutions, creating and maintaining data models, and supporting data integration efforts. You'll often work closely with senior architects, software engineers, and business analysts to understand project requirements and ensure data structures align with organizational needs. Daily tasks may include writing SQL queries, documenting data flows, and helping troubleshoot data quality or integrity issues. This collaborative and technical environment provides valuable hands-on experience and forms a strong foundation for advancing to more senior data architecture roles.

What are the most commonly searched types of Data Architect jobs in Boston, MA? The most popular types of Data Architect jobs in Boston, MA are:
What cities near Boston, MA are hiring for Entry Level Data Architect jobs? Cities near Boston, MA with the most Entry Level Data Architect job openings:
Infographic showing various Entry Level Data Architect job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $158,124 per year, or $76 per hour.

Data Scientist - NYC

The Hollister Group

Boston, MA โ€ข On-site

$100 - $200/hr

Contractor

Re-posted 3 days ago


Job description

Our client is seeking a talented Data Scientist to join their team as an independent remote employee. Our team brings data science and machine learning to the private equity investment process, providing unparalleled access to alternative data sources and proprietary data from portfolio companies. You'll be at the forefront of high-value tactical workflows that drive all aspects of the investment process. As a Data Scientist with our client, you'll have the opportunity to own due diligence processes, source efforts, or portfolio support initiatives, with your work influencing billions of dollars in investment decisions. You'll work in a collaborative, fast-moving team in close collaboration with experienced professionals passionate about AI/ML and its impact on the private equity space.
Compensation:
Pay Range: $100-$200/hr, depending on experience and scope.
Note: We encourage qualified applicants to apply even if their compensation expectations differ, as we value technical expertise and culture fit.
Responsibilities:
  • Develop predictive models and proprietary analytics from large datasets using advanced queries, filters, and data visualization tools
  • Create valuable insights from datasets directly with stakeholders
  • Architect and manage analytical projects from ideation to launch
  • Leverage alternative data sets to algorithmically determine the best investments for our clients
  • Conduct competitive analysis to determine the soundness of investments using all relevant data sources
  • Use ground-truth data from portfolio companies to improve business outcomes (automated lead generation/enrichment, forecast and churn modeling, etc.)
Requirements:
  • Bachelor's degree or concentration in a highly quantitative or relevant data science field (Computer Science, Statistics, Mathematics, Finance, etc.) or equivalent professional experience
  • Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts)
  • Experience writing code in Python
  • Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models
  • Excitement for the venture capital and private equity space and the opportunity to make analytical and data-driven decisions
  • Location: This role requires 3 days per week in our clients office in NYC.

Our Commitment to Inclusion & Belonging
The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their respective occupation or position.
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