CodaMetrix (CMX) is revolutionizing Revenue Cycle Management with its AI-powered autonomous coding solution, a multi-specialty AI-platform that translates clinical information into accurate sets of medical codes. CodaMetrix’s autonomous coding drives efficiency under fee-for-service and value-based care models and supports improved patient care. We are passionate about getting physicians and healthcare providers away from the keyboard and back to clinical care.

REQUIREMENTS

• Required
• 10+ years of experience in data engineering, data architecture, or data platform leadership roles with 5+ years leading data platform teams.
• Expertise managing and scaling cloud-based data platforms particularly Databricks on AWS or Azure.
• Deep experience designing and operating large scale data lakes, real-time and batch data pipelines, and streaming architectures.
• Strong understanding of ML and AI data sourcing needs (labeled datasets, feature stores, etc.)
• Experience working with structured, semi-structured, and unstructured healthcare data (EHR, claims, clinical notes, HL7, FHIR) is highly desirable.
• Strong knowledge of modern data technologies (Spark, Delta Lake, Kafka, Airflow, dbt, etc.)
• Solid grasp of data security, privacy, and compliance frameworks (HIPAA, SOC2, HITRUST).
• Excellent leadership, collaboration, and communication skills, with the ability to influence across technical and business teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems or related field; advanced degree preferred.
• Preferred
• Startup and/or Commercial experience
• Healthcare Technology experience
• Databricks and/or Snowflake experience
  The estimated hiring range for this role is $215,000 - $255,000 (plus applicable bonus/plus equity). This hiring range could vary by region based upon local market data. Final salary is ultimately decided upon taking into account a wide range of factors, including but not limited to: skills and experience, licensure and certifications, education, specific location and dynamic market data.

• Own and evolve the Databricks Data Lake platform strategy, architecture, security, and operations.
• Lead all data ingestion ETL/ELT, and data integration activities from internal and external sources.
• Architect and oversee scalable data pipelines and services to source and curate high-quality datasets for machine learning, analytics, and business intelligence use cases.
• Collaborate closely with machine learning, product, data analysis, integrations and engineering teams to prioritize data needs and ensure data availability, quality, and accessibility.
• Build, lead, mentor a high-performing data engineering and data architecture team while establishing a robust sourcing function for machine learning.
• Establish data governance, metadata management and data quality frameworks.
• Optimize cost, performance, and operational efficiency of the data infrastructure.
• Ensure compliance with HIPAA, SOC2, and other healthcare data security standards.
• Develop and manage budgets, vendor relationships, and technology evaluations related to the data platform ecosystem.
• Partner with senior leadership, including the Architecture committee, to align data platform initiatives with company goals and the product roadmap.
• Work closely with engineering managers, machine learning, and implementations teams to understand the current state of data acquisition, processing, storage and usage.
• Define, document, and communicate the data management lifecycle to all internal data stakeholders and participate as a key member of the Architecture Review Council.
• Contribute as a member of the senior leadership team by driving the data initiatives for the company.