Millennium Health LLC is an accredited specialty laboratory with more than a decade of experience in medication monitoring and drug testing services, helping clinicians monitor the use and misuse of prescription medications and illicit drugs. The testing is used by healthcare professionals to obtain objective information about patients’ recent use of prescription medications and/or illicit drugs and helps monitor the effectiveness of treatment plans. Data Management is tasked with implementing and maintaining revenue cycle configurations within our practice management system. The role maintains system integrity, performs analytics and by directive implements system updates. The following are intended to be examples of the accountabilities for which the person in this position is responsible. This position description is not intended to be complete or all-inclusive and does not preclude management from assigning other or related functions for which the individual has demonstrated competency through performance. - Responsible for performing, tracking, communicating, and monitoring system changes/updates - to the Billing Department staff. - Responsible for system analytics, reporting and conducting quality assurance audits. - Reviews problematic system errors and makes recommendations to the dept manager of how to - resolve. - Participates in educational activities and attends staff meetings. - Must be well organized and detail oriented. - Facilitate incoming cases for billing support via Salesforce within turnaround time - Communicates effectively and professionally, clear, and concise (verbal and written) information - Maintains confidentiality and privacy standards of protected health information and other - information in accordance with employer policies. Maintains strictest confidentiality; adheres to - all HIPAA guidelines/regulations - Upholds the standards of Millennium Health as mandated by its mission, purpose, guiding - principles and standards of quality - Ability to ensure HIPAA, confidentiality and compliance policies, procedures, and standards are always adhered to. - Ability to ensure administrative, physical and technical cybersecurity controls are always adhered to. - Other duties as assigned

• Architect Scalable Systems: Design, develop, and maintain highly scalable, fault-tolerant, and performant ELT/ETL data pipelines • Technical Leadership: Define data engineering standards, code review processes, and architectural best practices • Data Modeling & Optimization: Lead the design and implementation of optimized data models in our cloud data warehouse • Infrastructure as Code (IaC): Implement and manage data infrastructure using Terraform or CloudFormation • Ensure Data Quality & Governance: Establish advanced monitoring, alerting, and automated testing frameworks • Cross-Functional Collaboration: Partner closely with Product Managers, Data Scientists, and Software Engineering teams

• Data movement, transformation, and scalability for large volumes

WHAT WE DO Founded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult, design, build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is customer and employee success. GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company focused on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success. Summary We are looking for a Senior Data Platform Engineer with deep expertise in large-scale analytical databases and real-time data platforms. In this role, you will lead the design, optimization, and scalability of high-performance OLAP systems that power analytics, AI pipelines, and intelligent connectivity platforms. You will architect and optimize distributed analytical databases such as ClickHouse while ensuring the platform can process multi-terabyte datasets efficiently. This role combines data architecture, performance engineering, and platform design, with a strong focus on real-time analytics and large-scale data processing. As a Senior Engineer, you will also guide engineering teams on best practices for data modeling, distributed query optimization, and system scalability, ensuring that data systems deliver reliable insights and support advanced AI-driven workloads. Education - Bachelor’s or Master’s Degree in Computer Science, Data Science, Engineering, or related field, or equivalent practical experience. Professional Experience - 5–10 years of experience building and operating data engineering or analytics platforms - Strong experience working with OLAP databases or analytical data systems - Experience designing distributed data systems handling multi-terabyte datasets - Proven experience optimizing high-performance analytical queries and data pipelines - Experience mentoring engineers and guiding data architecture decisions Key Responsibilities Data Platform Architecture - Architect and optimize large-scale ClickHouse or OLAP databases - Design distributed data systems capable of handling multi-terabyte datasets - Define best practices for analytical data models and query performance - Ensure high availability, scalability, and reliability of data systems Performance Optimization - Tune analytical queries for maximum performance and efficiency - Optimize storage structures, indexing strategies, and partitioning - Improve query latency for real-time analytics workloads - Monitor and address performance bottlenecks in distributed data systems Data Pipeline & Platform Integration - Integrate ClickHouse with analytics platforms, dashboards, and AI pipelines - Design efficient data ingestion and transformation pipelines - Support real-time analytics use cases across distributed systems - Enable downstream consumption by analytics and product teams Engineering Leadership - Mentor engineers on distributed data system design and performance optimization - Guide teams in building scalable analytics infrastructure - Contribute to architectural decisions across the data platform - Promote best practices for data architecture and data reliability Cross-Team Collaboration - Work closely with data scientists, analytics teams, and backend engineers - Ensure the data platform supports real-time analytics and AI-driven features - Communicate complex data architecture decisions clearly to technical teams Required Technical Skills Data Platforms & Databases - Deep experience with ClickHouse or similar OLAP databases - Experience with analytical databases such as Druid, DuckDB, or similar systems - Strong experience managing multi-terabyte data environments - Deep understanding of distributed data system architecture Data Engineering & Analytics Systems - Experience building and operating analytics platforms and data pipelines - Knowledge of high-performance query optimization - Experience designing analytical schemas for fast querying - Experience integrating data platforms with analytics or AI systems Nice to Have - Experience with real-time data streaming architectures - Experience working with vector databases or AI data pipelines - Experience with cloud-based data infrastructure - Experience supporting large-scale analytics platforms Soft Skills - Advanced English proficiency - Strong communication and collaboration skills - Builder mindset with strong curiosity and experimentation attitude - Ability to explain complex technical concepts clearly At Growth Acceleration Partners, we're an equal opportunity employer committed to building a diverse and inclusive team. We value everyone's unique background, and we provide equal opportunities regardless of race, color, creed, religion, sexual orientation, gender identity, age, national origin, disability, marital status, veteran status or any other personal right protected by law. We foster a culture of belonging and strive to provide a welcoming environment where everyone feels safe to contribute and grow.