Data Modeler

InterSystems; Boston (MA); On-site; USD 107,000 - 142,000; Full time

Benefits offered by this job

Medical, vision, and dental insurance

401(k) Profit Sharing Contribution

Paid Time Off and Holidays

Parental Leave

Tuition reimbursement

Job summary

InterSystems in Boston is seeking a Lead Data Modeler to own the design, governance, and evolution of our data warehouse strategy across CRM and operational systems.

You will translate fragmented legacy data into a unified, scalable model and collaborate with Data Engineering, Sales Tech, Marketing Tech, and business stakeholders to serve as the source of truth for analytics and applications.

Qualifications

• 5+ years of experience in data modeling, data architecture, or related roles.
• Strong SQL skills with the ability to independently analyze complex datasets.
• Experience designing conceptual, logical, and physical data models.
• Experience working with databases (IRIS, PostgreSQL, or similar).
• Strong understanding of data normalization, denormalization, and schema design trade-offs.
• Experience defining source-to-target mappings and working with ETL/ELT processes.
• Ability to work with ambiguous, messy legacy data and derive structured solutions.
• Strong attention to detail and commitment to data accuracy and consistency.

Responsibilities

• Own the design and governance of data models across the data lake/warehouse.
• Define canonical data definitions, relationships, and business logic across fragmented legacy systems.
• Build scalable data models to support analytics, reporting, and operations.
• Establish modeling standards, naming conventions, and documentation practices.
• Refine models as new data sources and use cases emerge.
• Partner with Data Engineers to identify and resolve data discrepancies and build validation frameworks.

Skills

Data modeling

SQL

Data architecture

Data governance

Stakeholder collaboration

Tools

InterSystems IRIS

PostgreSQL

Job description

We are looking for a highly motivated, systems-oriented Lead Data Modeler to own the design, governance, and evolution of our datawarehouseat InterSystems.

This role sits at the center of our data lake / data warehouse initiative and willbe responsible fordefining how data is structured, understood, and used across the organization. You will work closely with Data Engineering, Sales Tech,CRM, MarketingTechnology,and business stakeholders to translate fragmented legacy CRM and operational systems into a unified, scalable data model.

This is a hands-on role requiring strong SQL and data analysis skills, with an emphasis on data modeling, source-to-target mapping, and cross-system reconciliation. You will not primarily build ingestion pipelines, but you will define exactly how data should flow, transform, and be represented-serving as the source of truth for all downstream analytics and applications.

In addition to modeling, this role will own core aspects of data governance, user access design,user support,and internal data warehouse administration within InterSystems.

Key Responsibilities

Data Modeling & Architecture Ownership

• Design andmaintainconceptual, logical, and physical data models across the data lake / warehouse.

• Definecanonicaldata definitions, relationships, and business logic across fragmented legacy systems.

• Build scalable, extensible models that reduce redundancy and support analytics, reporting, and operational workflows.

• Establish modeling standards, naming conventions, and documentation practices across the platform.

• Continuously refine models as new data sources and use casesemerge.

Source-to-Target Mapping & Data Translation

• Analyze legacy CRM andotheroperational datasets to understand structure, quality, and business meaning.

• Define detailed source-to-target mapping logic for ingestion into the data model.

• Provide clear, implementation-ready transformation specifications to Data Engineers.

• Validate incoming data against expected mappings and ensure alignment with defined models.

• Act as theprimary owner of how legacy data translates into the unified system.

Data Quality, Reconciliation & Discrepancy Resolution

• Partner with Data Engineers toidentifyand resolve discrepancies across systems and pipelines.

• Develop frameworks for data validation, integrity checks, and consistency monitoring.

• Investigate edge cases and ambiguous data definitions with SMEs and stakeholders.

• Establish processes for ongoing data quality governance as the platform scales.

Data Warehouse Administration

• Maintain andoptimizeschemasand views within the data warehouse, ensuring high performance and reliability.

• Support ETL workflows, data integrity checks, and reporting pipelines.

• Manage user access, roles, and data security within the warehouse environment.

• Monitor query performance andoptimizeschemas and indexing strategies.

• Maintain clear, up-to-date documentation of schemas, tables, and data flows.

Cross-Functional Collaboration & Communication

• Partner with Sales, CRM, Marketing, andotherstakeholders to gather and clarify data requirements.

• Translate complex data structures into clear, understandable documentation for non-technical users.

• Work closely with Data Engineering to ensure seamless execution of ingestion and transformation logic.

• Align with internal teams to standardize definitions and avoid duplication of data efforts.

Platform Growth & Governance

• Own the onboarding of new data sources into thedata warehouseplatform.

• Define scalable patterns for integratingadditionalsystems over time.

• Establish and manage user groups, access patterns, and data consumption layers.

• Contribute to long-term strategy for enterprise data architecture atInterSystems.

Short-Term Goals (0–6 months)

• Build a comprehensive understanding of existing CRM and operational data sources.

• Develop theinitialunified data model across core systems.

• Define and document source-to-target mappings for key datasets.

• Stand up and organize the data warehouse schema.

• Establish user groups, access controls, and initial governance processes.

• Partner with Data Engineering to support initial ingestion andvalidationpipelines.

• Identifyand resolve major discrepancies across legacy systems.

Long-Term Goals (6–24 months)

• Expand the data model to incorporateadditionalbusiness domains and data sources.

• Evolve the platform into a scalable, enterprise-grade data lake / warehouse.

• Establish robust data governance, documentation, and quality monitoring frameworks.

• Enable self-service analytics through well-structured and well-documented datasets.

• Drive standardization of data definitions across the organization.

• Continuouslyoptimizeperformance, usability, and scalability of the platform.

Required Qualifications

• 5+ years of experience in data modeling, data architecture, or related roles.

• Strong SQL skills with the ability to independently analyze complex datasets.

• Experience designing conceptual, logical, and physical data models.

• Experience working with databases (IRIS, PostgreSQL, or similar).

• Strong understanding of data normalization, denormalization, and schema design trade-offs.

• Experience defining source-to-target mappings and working with ETL/ELT processes.

• Ability to work with ambiguous, messy legacy data and derive structured solutions.

• Strong attention to detail and commitment to data accuracy and consistency.

Preferred Qualifications

• Experience working with CRM or customer data platforms.

• Familiarity withInterSystemsIRIS or similar enterprise data platforms.

• Experience supporting data governance, access control, and data quality initiatives.

• Proficiencyin Python for data analysis orvalidationworkflows.

• Experience using AI tools to accelerate data analysis, mapping, and documentation.

• Strong communicationskills with the ability to work across technical and business teams

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

InterSystems is providing a current good faith estimate of the anticipated base salary range for this position depending on a variety of factors including experience, education, skills, and performance.

Other compensation may include a discretionary annual variable target incentive.

The company also provides generous employee benefits including:

• Medical, vision, and dental insurance
• Short-term and long-term disability, and life insurance
• 401(k) Profit Sharing Contribution
• Paid Time Off and Holidays
• Parental Leave
• Tuition reimbursement

The estimated base compensation range for this role is:

$107,000—$142,000 USD

About InterSystems

InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.

AI Disclaimer

InterSystems may use AI tools for its internal operations including administrative tasks during recruitment (e.g., organizing candidate information). InterSystems’ approach to AI is guided by the InterSystems Responsible AI Guidelines. AI is not used to make or influence hiring decisions. All decisions are made by InterSystems employees.

Candidates may use AI for CV or interview preparation, provided materials are truthful and reflect their own experience. AI tools and third-party transcription services must not be used during interviews or assessments.

Please note that the use of wearable technology, including any AI-related tools or other technology-connected devices (such as META or Google smart glasses and/or wearables, and/or any similar devices), is strictly prohibited during the interview and screening process with InterSystems. Any applicant who requires a wearable device or any type of technology support during the interview process as a reasonable accommodation under the ADA or applicable state or country laws and regulations must contact the InterSystems Human Resources Department prior to attending or participating in any interview or screening process.