Data Mart Technical Lead - ONLY W2

My3tech; South Dakota; A distancia; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

My3tech seeks a Data Mart Technical Lead (W2) to drive the design, development, and implementation of a modern Data Mart for a Medicaid modernization initiative. This remote, long-term contract role requires deep SQL expertise and hands-on ETL/ELT leadership to migrate legacy data and ensure data quality.

You will collaborate with state IT, business analysts, Medicaid SMEs, and cross-functional teams to deliver scalable data solutions, optimize performance, and transfer knowledge to the team.

Formación

• 10+ years in data engineering, data warehousing, or enterprise data integration.
• Proven experience leading technical teams and delivering complex data solutions.
• Experience migrating legacy data into modern data platforms and coordinating data migration plans.

Responsabilidades

• Lead the design and development of the Data Mart architecture, data models, and ETL/ELT processes.
• Define source-to-target mappings, transformation logic, and data migration strategies.
• Oversee data profiling, cleansing, validation, and reconciliation activities.
• Design and optimize SQL queries, stored procedures, and data pipelines for performance.
• Establish data quality controls, error handling, monitoring, and deployment readiness.
• Collaborate with state IT, business analysts, Medicaid SMEs, and development teams.
• Review designs and code, ensuring quality and timely delivery.
• Lead root-cause analysis of data discrepancies and production issues.

Conocimientos

SQL Expertise

Data Warehousing

Data Modeling

ETL/ELT

Technical Leadership

Analytical Skills

Herramientas

SQL Server

SSIS

Azure Data Factory

Databricks

Spark

Descripción del empleo

Job Title: Data Mart Technical Lead – ONLY W2

Location: 100% Remote

Duration: Long-term Contract

Job Description:

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.

Scope of Services/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.
• 10+ Years: 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.