Description

IntegriChain is hiring a senior data engineer to lead enterprise data integration, Snowflake platform engineering, MDM/Reltio enablement, ELT pipeline development, data modeling, and data quality across its life sciences market access platform. The role requires 10+ years of production data engineering experience, strong Snowflake and SQL expertise, Python automation, and experience with enterprise data models and MDM concepts. It offers medical benefits, paid time off, and learning opportunities, and applicants for US-based positions must have work authorization without visa sponsorship.

Required Skills

Snowflake
dbt
Python
SQL
Reltio
Data modeling
Data quality
ETL/ELT

Additional Information

Required Previous Experiences: 10+ years of data engineering, database engineering, analytics engineering, or data platform development experience in production environments
Hands-on Snowflake experience covering architecture, performance tuning, security, cost optimization, and cost tracking
Hands-on ETL/ELT tool experience; dbt experience preferred
Strong SQL and PL/SQL-style development experience with complex transformations, stored procedures, performance tuning, and large-scale data processing
Python experience for data automation, API integration, file handling, data validation, metadata processing, or operational tooling
Experience designing enterprise data models, curated data layers, semantic layers, and reusable data products
Experience with enterprise data integration across applications, APIs, files, cloud storage, operational systems, MDM platforms, and analytical platforms
Working understanding of Master Data Management concepts, including golden records, crosswalks, match/merge, survivorship, hierarchies, entity relationships, stewardship, and data quality
Experience partnering with MDM, Product, or business teams to translate mastering requirements into mappings, transformations, validations, and downstream consumption patterns
Experience implementing data quality, lineage, auditability, observability, and operational monitoring in data pipelines
Preferred Qualifications: Reltio MDM experience, including inbound loads, outbound exports, APIs, crosswalks, match/merge outputs, survivorship outputs, and troubleshooting
Life sciences, healthcare, pharmaceutical commercialization, HCO/HCP mastering, patient, channel, customer master, or commercial data platform experience
Life sciences reference and commercial dataset experience, including HIN, DEA, NPI, NCPDP, 340B/PHS, and related datasets
Experience with Airflow, Dagster, dbt Cloud jobs, cloud-native schedulers, or similar orchestration frameworks
Experience with cloud platforms and storage patterns, especially Azure or AWS object storage integrated with Snowflake
Exposure to AI-ready data architecture, feature stores, ML datasets, semantic models, or AI/ML pipeline enablement
Experience with Terraform, CI/CD, Git-based development, and infrastructure-as-code practices
Snowflake SnowPro, Reltio, dbt, or equivalent cloud/data engineering certifications
Translation Company Name: IntegriChain

About IntegriChain1

IntegriChain1

View full company profile

Sr Data Engineer at IntegriChain1

Description

Required Skills

Additional Information

About IntegriChain1

Trending job searches

Get More from Metaintro

Ready to find a role that actually fits?

Required Skills

Additional Information

About IntegriChain1