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Data Modeling Jobs in Boston, MA (NOW HIRING)

RevSpring Inc

Data Architect (Data Platform)

Boston, MA

$69.25 - $89/hr

Data Modeling amp; Design You need to be fluent in conceptual, logical, and physical data modeling. That includes understanding normalization vs. denormalization, dimensional modeling (star/snowflake ...

Rockland Trust

Data Architect

Plymouth, MA · Hybrid

$69.25 - $89.25/hr

This role is based in Plymouth with a hybrid model. Responsibilities: Enterprise Data Architecture * Design and implement modern, enterprise-wide data architecture frameworks and standards * Define ...

Rockland Trust

Data Architect

Plymouth, MA · Hybrid

$69.25 - $89.25/hr

This role is based in Plymouth with a hybrid model. Responsibilities: Enterprise Data Architecture * Design and implement modern, enterprise-wide data architecture frameworks and standards * Define ...

Northeastern University

Senior Data Architect

Boston, MA · On-site

$130K - $189K/yr

Establishes enterprise data standards, models, governance structures, and integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use ...

Soni Resources

Data Architect

Boston, MA · On-site

$69.25 - $89/hr

Partner with senior business and technology stakeholders to define operating models, governance ... Develop data architecture strategies focused on data modeling, data governance, data quality ...

NorthEastern

Senior Data Architect

Boston, MA

$130K - $189K/yr

Establishes enterprise data standards, models, governance structures, and integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use ...

Robert Half

Data Architect

Needham, MA · On-site

$140K - $160K/yr

The ideal candidate brings strong expertise in Azure, Snowflake, Python, and Spark, along with a practical approach to data modeling, integration, and performance optimization. Responsibilities: • ...

DRC Systems

Technical Lead - Data Analysis

Boston, MA · Remote

$50 - $54/hr

Advanced SQL & Data Modeling - Proven ability to design robust data models, write complex SQL, and build performant analytics pipelines. * Data Visualization & Storytelling - Ability to translate ...

Stellar IT Group

Azure Data Engineer

Wilmington, MA · On-site

$125K - $150K/yr

Develop and debug Python scripts for automation, ingestion, and data quality checks. * Assist in building Fabric dataflows, pipelines, and lakehouse tables aligned with enterprise data-modeling ...

Aptino

Pharma Data Analyst

Cambridge, MA

Data modeling, reporting, and dashboard development Responsibilities: * Analyze and interpret clinical/commercial datasets * Develop reports, dashboards, and data solutions * Ensure data quality ...

Prophecy Technologies

Snowflake Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Collaboration & Data Modeling * Collaborate with Product Owners, Data Architects, and Analytics Engineers to design data models. * Implement dimensional models (Star, Snowflake, 3NF) and SCD Type 1/2 ...

Lilly

Advisor - Data Architect, Data Foundry

Boston, MA

$69.25 - $89/hr

You will create the schemas, ontologies, data models, knowledge graphs, and platform architectures that transform raw scientific data into machine-actionable, FAIR-compliant, insight-ready assets ...

PeopleSERVE, Inc.

Data Engineer 181254

Boston, MA · On-site

$124K - $149K/yr

Responsibilities : • Design and build scalable data solutions, including data processing pipelines, migrations, and complex data modeling. • Identify new development opportunities within a ...

New

Jj

Principal Data Scientist - Oncology

Cambridge, MA · On-site

Apply graph-based data modeling for efficient Oncology R&D organization, integration and retrieval to ensure system flexibility and long-term maintainability. * Work with a larger community of Data ...

MM International

Investment Data Analyst

Boston, MA · Remote

Looking for a Sr. candidate with strong financial background, should have experience with Reference Data and Data Modeling (MDM experience will be huge) , and should have experience with CRM ( any CR ...

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Data Modeling information

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$11

$63

$90

How much do data modeling jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data modeling in Boston, MA is $63.79, according to ZipRecruiter salary data. Most workers in this role earn between $57.21 and $74.18 per hour, depending on experience, location, and employer.

Will AI replace data modelers?

AI tools can automate certain aspects of data modeling, such as generating schemas or identifying patterns, but data modelers are essential for designing complex data structures, understanding business needs, and ensuring data quality. Human expertise remains critical for interpreting requirements and making strategic decisions, making the role of a data modeler unlikely to be fully replaced by AI in the near future.

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

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What is a Data Modeling job?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

What does a typical day look like for someone working in Data Modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What does a data modeler do?

A data modeler designs and creates data models to organize and structure data for databases and information systems. They analyze data requirements, develop schemas, and use tools like ER diagrams to ensure data consistency and efficiency. Strong knowledge of data management, modeling techniques, and database systems is essential for this role.

Is 40 too late for data science?

Data modeling is a key skill in data science, and individuals can enter the field at any age with relevant skills, experience, and continuous learning. Many professionals successfully transition into data science later in their careers by acquiring programming, statistical, and analytical tools, making age less of a barrier than skill development and practical experience.
What are the most commonly searched types of Data Modeling jobs in Boston, MA? The most popular types of Data Modeling jobs in Boston, MA are:
What are popular job titles related to Data Modeling jobs in Boston, MA? For Data Modeling jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Modeling jobs in Boston, MA look for? The top searched job categories for Data Modeling jobs in Boston, MA are:
Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Boston, MA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $132,674 per year, or $63.8 per hour.

Data Architect (Data Platform)

RevSpring Inc

Boston, MA

$69.25 - $89/hr

Full-time

Posted 9 days ago

Job description

Job Title: Data Architect (Data Platform)
Job Summary:
As a Data Architect for healthcare applications, you are responsible for innovating, designing and managing scalable, secure, and interoperable data systems that support clinical, operational, and financial workflows. This role focuses on structuring complex healthcare data from electronic health records (EHRs) to healthcare financial data into cohesive architectures that enable accurate reporting, analytics, and patient care insights. This role will ensure compliance with healthcare regulations such as HIPAA, implement industry standards like HL7 and FHIR for seamless data exchange, and establish strong data governance, quality, and security practices such as HITRUST. By aligning data strategy with organizational goals, this role plays a critical part in improving data accessibility, reliability, and ultimately patient outcomes.
Data Modeling amp; Design
You need to be fluent in conceptual, logical, and physical data modeling. That includes understanding normalization vs. denormalization, dimensional modeling (star/snowflake schemas), and designing for scalability and performance.
Database amp; Storage Expertise
Deep knowledge of both relational and non-relational systems is critical. This also means familiarity with data lakes, lakehouses, and distributed storage systems/warehouses (e.g., S3, Delta Lake, BigQuery)
Data Integration
Designing pipelines that move and transform data reliably. This includes experience with ETL/ELT tools (DBT), streaming systems (Kafka, Kinesis), and orchestration frameworks (Airflow, etc.) with the ability to understand batch vs. real-time tradeoffs
Performance Optimization
Indexing strategies, partitioning, query tuning, and workload. The ability to architect for scale, resiliency and business continuity.
Strategic Thinking
Beyond solving today’s problems, you will define our data strategy including:
  • Define what the future data architecture should look like
  • Determine how and where to reduce technical debt
  • Identify how to enable analytics insights, incorporate AI, and drive self-service?
Artificial Intelligence (AI)
  • Define and evolve data architectures that support AI/ML workloads, including curated training datasets, feature stores, and scalable pipelines for batch and real-time inference
  • Define and evolve data architectures that leverage AI to drive greater operational efficiency, reduce system complexity, and accelerate the ingestion and processing of healthcare data across platforms
  • Design scalable pipelines and platforms (e.g., lakehouse, streaming, feature stores) that enable faster data availability for AI-driven insights and real-time decision support
Minimum Requirements:
Specific Job Skills:
  • 12+ years of software engineering experience, including hands-on technical experience building, maintaining and scaling data systems.
  • 5+ years of experience as a tech lead who successfully converts business / product requirements into well architecture designs.
  • Extensive experience in building and scaling large data pipelines including real time processing and / or 100+ GB transformation in Java, Python, DBT, and SQL.
  • Extensive experience in building and driving large business outcomes by leveraging a combination of existing and new technologies.
  • A deep knowledge of common data technology stacks such as GCP BigQuery, Snowflake, Databricks, DBT, Datalake architecture on AWS S3 or GCP Cloud storage.
  • A deep knowledge in cloud platforms such as AWS, GCP, or Azure, and cloud-native API solutions.
  • Deep knowledge of data modeling and data governance control
  • Strong RESTful API design principle, microservices architecture, distributed asynchronous system and good design patterns
  • Strong knowledge with CI/CD pipelines (CircleCI, Github Action), containerization (Docker, Kubernetes), and version control (Git), infrastructure as code (Pulumi, Terraform), Relational and NoSQL databases, caching mechanisms (Redis, Memcached), and performance optimization techniques.
  • Strong leadership and communication skills, with the ability to influence cross-functional teams and communicate complex technical details to upper management and non-technical stakeholders.
  • Proven problem-solving ability with a focus on delivering solutions
  • Positive attitude: Maintaining a constructive approach to work challenges.
Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities: Standard categories
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.

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