Senior Data Integration Lead - Remote (Healthcare)

LifeStance Health Inc.; United States; Remote; USD 120,000 - 147,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k with employer match

Paid parental leave

Paid time off

Holiday pay

Employee Assistance Program

Job summary

LifeStance Health Inc. is seeking a Senior Integration Analyst to lead data integration and standardization across the Enterprise Data Platform.

You will define source-to-target mappings, establish data transformation requirements, and guide implementation with Snowflake Horizon Catalog governance. In this role, you will partner with business and technical teams to ensure trusted, scalable data products, maintain data glossaries, and uphold data quality and regulatory standards within a

Qualifications

• Bachelor's degree or equivalent experience in information systems, analytics, or related field.
• 8+ years of data analysis experience; 3+ years in healthcare data analysis.
• Proficient SQL and Snowflake querying; data quality and governance experience.

Responsibilities

• Lead enterprise data analysis across multiple source systems and define mapping strategies.
• Own source-to-target mappings for Silver Medallion layer data domains.
• Maintain metadata, data lineage, data quality standards, and governance artifacts.
• Act as escalation point for identity, integration, and data quality incidents.

Skills

SQL

Snowflake

Data analysis

Data governance

HIPAA knowledge

Education

Bachelor's degree in Computer Information Systems, MIS, CS, Data Analytics or related field

Tools

Salesforce

Workday

AthenaOne

Job description

LifeStance Health Inc. is seeking a Senior Integration Analyst to lead data integration and standardization across the Enterprise Data Platform.

You will define source-to-target mappings, establish data transformation requirements, and guide implementation with Snowflake Horizon Catalog governance. In this role, you will partner with business and technical teams to ensure trusted, scalable data products, maintain data glossaries, and uphold data quality and regulatory standards within a