Company Description

IntegriChain is the data and application backbone for market access departments of Life Sciences manufacturers. We deliver the data, the applications, and the business process infrastructure for patient access and therapy commercialization. More than 250 manufacturers rely on our ICyte Platform to orchestrate their commercial and government payer contracting, patient services, and distribution channels. ICyte is the first and only platform that unites the financial, operational, and commercial data sets required to support therapy access in the era of specialty and precision medicine. With ICyte, Life Sciences innovators can digitalize their market access operations, freeing up resources to focus on more data-driven decision support. With ICyte, Life Sciences innovators are digitalizing labor-intensive processes – freeing up their best talent to identify and resolve coverage and availability hurdles and to manage pricing and forecasting complexity.

We are headquartered in Philadelphia, PA (USA), with offices in: Ambler, PA (USA); Pune, India; and Medellín, Colombia. For more information, visit www.integrichain.com, or follow us on Twitter @IntegriChain and LinkedIn.

Job Description

We are looking for a Reltio MDM Configurator / Data Integration Engineer based in India. This role is intentionally data-integration heavy, with approximately 75% of the responsibility focused on data pipelines, source-to-Reltio ingestion, Reltio-to-downstream extraction, reconciliation, and operational data movement. The remaining 25% will focus on hands-on Reltio configuration, including entities, attributes, match/merge, survivorship, relationships, and data model updates.

The ideal candidate is a strong Data Engineer / Data Pipeline expert with practical Reltio experience, strong SQL and Python skills, Snowflake knowledge, and experience with ETL/ELT tools. The candidate should be comfortable working across source systems, MDM platforms, and downstream analytical platforms in a life sciences or healthcare data ecosystem.

Data Integration / Data Engineering 75%

Build, support, and optimize data pipelines to load data into Reltio and extract mastered data from Reltio into downstream platforms such as Snowflake.

Reltio Configuration 25%

Configure and maintain Reltio entities, attributes, relationships, survivorship, match/merge logic, and operational metadata.

Qualifications

Key Responsibilities

Data Integration / Data Engineering Responsibilities (75%)

Design, build, and maintain data pipelines to onboard source data into Reltio MDM.
Develop repeatable ingestion patterns for batch and API-based loads into Reltio.
Extract mastered, matched, merged, and survivorship-applied data from Reltio for downstream consumption.
Build and support pipelines between Reltio, Snowflake, and other enterprise data platforms.
Use Python, SQL, Snowflake, and ETL/ELT tools to transform, validate, reconcile, and publish data.
Support source-to-target mapping, data profiling, cleansing, standardization, and validation activities.
Develop reconciliation checks for inbound loads, outbound extracts, rejects, errors, match results, and delta processing.
Troubleshoot data integration failures, API errors, job failures, data sync issues, and downstream data defects.
Collaborate with Data Engineering, MDM, QA, Product, and business teams to convert requirements into reliable data pipelines.
Document integration patterns, source mappings, pipeline logic, operational procedures, and support runbooks.

Reltio Configuration Responsibilities (25%)

Configure and maintain Reltio entities, attributes, reference attributes, relationships, crosswalks, and lookup/reference data.
Support match rules, merge behavior, survivorship rules, validation rules, and data model configuration changes.
Implement and support Reltio APIs, webhooks, event framework patterns, and integration touchpoints.
Assist with Reltio tenant configuration, promotion support, testing, and production release activities.
Analyze and resolve data quality, matching, survivorship, hierarchy, and relationship issues within Reltio.
Support data onboarding, migration, regression testing, reconciliation, and production support for Reltio implementations.
Maintain configuration documentation and partner with MDM architects/leads on design decisions.

Required Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
5+ years of experience in data engineering, data integration, ETL/ELT, or data pipeline development.
2+ years of hands-on experience with Reltio MDM configuration and/or Reltio integration.
Strong experience building pipelines to load data into Reltio and extract data from Reltio.
Strong SQL skills and experience working with relational databases and cloud data platforms.
Hands-on experience with Python for data processing, automation, API interaction, and operational scripting.
Experience with Snowflake, including data loading, transformation, validation, and downstream publishing patterns.
Experience with ETL/ELT tools such as dbt, Informatica, SSIS, Airflow, Matillion, Fivetran, or similar tools.
Strong understanding of MDM concepts including entity resolution, crosswalks, golden records, survivorship, match/merge, hierarchies, and data quality.
Ability to troubleshoot complex integration, data quality, and synchronization issues across multiple systems.
Experience working in Agile/Scrum delivery models and participating in design, testing, release, and production support activities.

Preferred Qualifications

Experience with life sciences, healthcare, HCP/HCO, customer, product, provider, or reference data domains.
Experience with Reltio APIs, REST services, JSON, event-driven integration, webhooks, and delta extraction patterns.
Experience with Snowflake, dbt, Git, CI/CD, and environment promotion/release management.
Exposure to data governance, data catalog, lineage, metadata management, and enterprise data quality frameworks.
Experience supporting production MDM operations, issue triage, monitoring, and managed services handoffs.
Reltio certification or prior participation in successful Reltio implementation programs.

What Success Looks Like

Reliable and repeatable data pipelines are established for Reltio inbound loads and outbound mastered-data extracts.
Reltio configuration changes are implemented in a controlled, documented, and testable manner.
Data issues are identified early through profiling, validation, reconciliation, and automated quality checks.
Downstream consumers have timely and trusted access to Reltio mastered data in Snowflake and related platforms.
The team has clear documentation, support procedures, and reusable integration patterns for future MDM implementations.

Additional Information

What does IntegriChain have to offer

Mission driven: Work with the purpose of helping to improve patients lives!
Excellent and affordable medical benefits + non-medical perks including Flexible Paid Time Off and much more!
Robust Learning & Development opportunities including over 700+ development courses free to all employees

IntegriChain is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to race, color, religion, national origin, ethnicity, age, sex, marital status, physical or mental disability, gender identity, sexual orientation, veteran or military status, or any other category protected under the law. IntegriChain is an equal opportunity employer; committed to creating a community of inclusion, and an environment free from discrimination, harassment, and retaliation.

Data Integration Engineer (Reltio MDM Configurator)