Data Mart Technical Lead

My3tech; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

My3tech is seeking an experienced Data Mart Technical Lead to drive the design, development, and implementation of a modern Data Mart as part of a Medicaid modernization initiative. The resource will provide technical leadership for legacy data migration, data integration, transformation, and reconciliation while ensuring the new solution meets business, reporting, and operational requirements.

The role requires leading the technical design and development of the Data Mart, data models, ETL/ELT

Qualifications

• 10+ years in data engineering, data warehousing, or enterprise data integration.
• Strong SQL expertise with complex queries and tuning.
• Experience migrating legacy data to modern data platforms.

Responsibilities

• Lead the technical design and development of the Data Mart, including data architecture, data models, ETL/ELT processes, and integration.
• Analyze legacy systems, source data structures, business rules, and existing data flows.
• Define source-to-target mappings, transformation logic, and data migration strategies.
• Lead data profiling, cleansing, validation, reconciliation, and conversion activities.
• Design and optimize complex SQL queries, stored procedures, and data pipelines.
• Establish data quality controls, error handling, monitoring, and performance optimization.
• Collaborate with state IT, business analysts, Medicaid SMEs, and development teams.
• Review technical designs, code, and deliverables produced by developers.
• Lead root-cause analysis and resolution of data discrepancies and production issues.
• Own technical documentation, deployment readiness, and knowledge transfer.

Skills

SQL

ETL/ELT

Data warehousing

Data modeling

Performance tuning

Leadership

Data migration

Tools

SQL Server

SSIS

Azure Data Factory

Databricks

Spark

Job description

Job Title: Data Mart Technical Lead

Priority: High

Location: Remote

Work Authorization: Only W2

Job Summary

We are seeking an experienced Data Mart Technical Lead to drive the design, development, and implementation of a modern Data Mart as part of a state Medicaid modernization initiative. The resource will provide technical leadership for legacy data migration, data integration, transformation, and reconciliation while ensuring the new solution meets business, reporting, and operational requirements.

Responsibilities

• Lead the technical design and development of the Data Mart, including data architecture, data models, ETL/ELT processes, and integration.
• Analyze legacy systems, source data structures, business rules, and existing data flows.
• Define source-to-target mappings, transformation logic, and data migration strategies.
• Lead data profiling, cleansing, validation, reconciliation, and conversion activities.
• Design and optimize complex SQL queries, stored procedures, and data pipelines.
• Establish data quality controls, error handling, monitoring, and performance optimization.
• Collaborate with state IT, business analysts, Medicaid subject matter experts, and development teams.
• Review technical designs, code, and deliverables produced by developers.
• Lead root-cause analysis and resolution of data discrepancies and production issues.
• Own technical documentation, deployment readiness, and knowledge transfer.

Minimum Requirements

• 10+ years of experience in data engineering, data warehousing, or enterprise data integration, including technical leadership experience.
• Strong SQL expertise, including complex queries, stored procedures, and query optimization.
• Hands-on experience with ETL/ELT development, dimensional modeling, and Data Mart architecture.
• Demonstrated experience migrating legacy data into modern data platforms.
• Experience with data validation, reconciliation, and large-volume data processing.
• Ability to independently lead technical discussions and drive deliverables to completion.

Preferred Qualifications

• Experience with Medicaid, MMIS, state government systems, provider enrollment, claims, eligibility, or healthcare data.
• Experience with SQL Server, SSIS, Azure Data Factory, Databricks, Spark, or equivalent technologies is beneficial, depending on the project's technology stack.