• Manage and implement the data architecture of NextGen Healthcare and external business partner’s automated systems • Support the Life Sciences and Strategic Alliances Group (LSSA) with the management of business metrics and revenue • Monitor the proper operation of business systems • Identify new business systems and features to improve and support new business partners and existing operations • Perform architecture of new business systems and modifications of existing systems • Manage the implementation of new systems and modifications of existing systems • Communicate data system architecture and implementation processes to stakeholders and internal teams • Provide system and process information to leadership to support decision making • Collaborate with internal and external technical business partners to ensure business systems and operations • Perform data and system analysis, assessment, and resolution for defects and incidents of moderate complexity • Assist with the development, support, and implementation of data solutions for multiple applications and products

• Design and implement declarative data pipelines using Lakeflow and Databricks Asset Bundles (DABs) • Build efficient, scalable ingestion patterns using AutoLoader and Change Data Capture (CDC) • Manage metadata, lineage, and access control through Unity Catalog • Develop and maintain complex workflows using Databricks Jobs and orchestration tools • Utilize Terraform to manage AWS resources (S3, EC2) and Databricks workspaces

• Projetar e implementar pipelines de dados eficientes e escaláveis, adequados a diferentes cenários de negócio (Data Lake, Data Warehouse, Data Mart). • Criar e manter pipelines de ingestão e transformação de dados em ambientes GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage). • Definir padrões de modelagem relacional e dimensional (star schema, snowflake, Data Vault, etc.), com foco em performance e usabilidade. • Atuar junto a áreas de negócio para traduzir requisitos em modelos de dados claros e consistentes. • Assegurar qualidade, governança, segurança e compliance em todo o ciclo de vida dos dados. • Monitorar e otimizar custos e performance em nuvem.

Role Description This role focuses on annotating and labeling audio data to help improve AI models. You’ll work with provided tools, clear guidelines, and training materials to ensure high-quality outputs. Strong English comprehension and attention to detail are key. - Accurately annotate and categorize audio clips and texts in the German language - Review and follow detailed labeling instructions and training resources, including documentation and Loom video tutorials - Maintain consistency and high accuracy across all assigned tasks - Join training sessions and participate in receiving or giving quality feedback - Work closely with the Project Manager to meet daily and weekly productivity targets - Flag unclear audio samples or guideline inconsistencies as needed Qualifications - Excellent command of the German language - High attention to detail and ability to focus on repetitive tasks - Stable internet connection and a reliable device suitable for remote full-time work - Self-motivation, punctuality, and the ability to follow structured workflows