Lead Platform Engineer

OMS MEDICAL BILLING LLC•Addison, TX

3d•$140,000 - $155,000•Onsite

About The Position

The Lead Data Platform Engineer is the technical owner of the enterprise data platform, responsible for designing, building, operating, and continuously improving a reliable, scalable, secure, and operationally resilient platform that delivers trusted data for business operations, reporting, and analytics. This is a hands-on engineering role that establishes engineering standards, guides technical decisions, and promotes continuous improvement. The engineer owns the platform’s architecture, engineering, reliability, security, and day-to-day operation. The role includes building and maintaining ELT pipelines and data transformation frameworks, developing scalable data models, implementing testing and observability, improving performance and cloud resource utilization, and enabling controlled CI/CD deployments. The engineer ensures sensitive data is handled in accordance with HIPAA and organizational security standards, and partners with application, analytics, and business teams to deliver production-ready data solutions. The role provides technical leadership through architecture and code reviews, mentoring, and engineering best practices. The position is based in Dallas, Texas, and is on-site five days per week.

Requirements

6+ years of professional experience designing and supporting production data platforms.
Strong experience with Azure Data Factory, Azure Data Lake Storage Gen2, and Microsoft Azure.
Hands-on Snowflake experience, including SQL development, Streams and Tasks, performance tuning, incremental data processing, security, and RBAC.
Strong SQL Server and advanced T-SQL development skills.
Experience designing scalable ETL/ELT architectures and production-grade data integration solutions.
Strong data modeling experience, including dimensional modeling and performant, maintainable analytical data structures.
Hands-on experience with dbt or an equivalent transformation framework, including model development, testing, documentation, and deployment.
Experience implementing Git-based source control, CI/CD pipelines, and automated deployment practices.
Experience designing reliable production platforms with monitoring, observability, automated testing, error handling, and recovery strategies.
Understanding of cloud performance optimization, platform scalability, and FinOps principles.
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
Demonstrated experience owning or leading production data platforms.

Nice To Haves

Python for automation, testing, or engineering utilities.
Experience working in healthcare or other regulated industries.
Experience with Azure DevOps or similar DevOps platforms.
Experience leading technical initiatives or serving as the technical owner of an enterprise data platform.
Experience working with regulated data environments such as HIPAA, PCI, or SOX.

Responsibilities

Own the architecture, engineering, reliability, security, and day-to-day operation of the enterprise data platform.
Design, build, and maintain scalable ELT pipelines using Azure Data Factory, Azure Data Lake Storage Gen2, and Snowflake.
Design and evolve scalable logical and physical data models for analytics, reporting, and operational decision-making.
Design, implement, and maintain modern data transformation frameworks using dbt or an equivalent, promoting reusable, testable, and maintainable data models.
Establish engineering standards for data modeling, transformation, testing, deployment, monitoring, documentation, and operational support.
Build reusable ingestion and transformation patterns to simplify onboarding data sources and reduce maintenance.
Implement automated testing, data quality validation, lineage, and observability across the platform.
Optimize platform performance, scalability, and cloud resource utilization while balancing operational cost and business value.
Implement CI/CD practices for reliable, repeatable deployments and controlled platform changes.
Ensure sensitive data is managed in accordance with HIPAA and organizational security standards through governance, auditing, and access controls.
Partner with application, analytics, and business teams to deliver trusted, production-ready data solutions.
Provide technical leadership through architecture reviews, code reviews, mentoring, and engineering best practices.
Continuously identify opportunities to automate, simplify, modernize, and reduce technical debt.
Take end-to-end ownership and accountability for production platforms and communicate effectively with technical and business stakeholders.