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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Platform & Operations Manager - **Company:** Radnet, Inc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Experienced - **Salary:** $110,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, BigQuery, Cloud Engineering, Databases, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Data Flow Control, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Cloud Services, SQL Databases, SQL Server Integration Services, Google Cloud, System Availability, Information Technology, Data Management, Cloud Migration, Data Delivery, Data Pipelines, Programming Languages - **Published:** May 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=931225421e979a54 ## About the Role Do you have experience in Vendor relationship building?, * Passionate about patient care and exercise sound judgement and an ability to remain professional in all situations. * You demonstrate effective and professional communication, interpersonal skills and respect with patients, guests & colleagues. * You have a structured work-approach, understand complex problems and you are able to prioritize work in a fast-paced environment. To Ensure Success in This Role, You Must Have: * Bachelor's or Master's degree in Computer Science, Engineering, or related field * 7+ years of experience in data engineering, including extensive experience with ETL, data warehousing, and database administration * 3+ years of experience managing or leading a team of data engineers, DBAs, or related roles * Strong understanding of database systems (SQL Server, PostgreSQL, BigQuery), SQL, and programming languages (Python, R) * Experience with cloud data platforms, preferably GCP (BigQuery, Dataflow, Cloud Composer, Pub/Sub, Airbyte, dbt) * Knowledge of data management best practices, data integration patterns, and data quality principles * Excellent communication, leadership, and problem-solving skills * Ability to manage multiple projects and priorities in a fast-paced environment ## Description * The Manager is responsible for leading and developing a team of DBAs, Data Engineers, and ETL Engineers: * Lead, mentor, and guide direct reports across Database Administration and Orchestration teams, fostering a culture of collaboration, continuous improvement, and accountability * Conduct performance reviews, set goals, and provide constructive feedback to team members * Develop training plans and programs to enhance the skills and capabilities of the Data Platform team * Coordinate resource allocation across projects and priorities * Partner with the Director to develop and execute the data platform strategy and roadmap Data Platform Operations * The Manager ensures the reliable, secure, and efficient operation of the data platform: * Oversee the operation and maintenance of database systems (SQL Server, AlloyDB, BigQuery) ensuring high availability and performance * Manage data pipeline orchestration (Airflow/Cloud Composer, Airbyte, SSIS, dbt, Datastream) ensuring timely and accurate data delivery * Ensure compliance with data governance policies, security standards, and regulatory requirements (HIPAA, SOC2) * Implement monitoring, alerting, and incident response procedures for data platform services * Manage vendor and partner relationships for data platform tools and services Cloud Migration & Modernization * The Manager drives the migration to Google Cloud Platform: * Lead the migration of on-premises EDW workloads to GCP BigQuery * Ensure the implementation of the Medallion Architecture (Bronze-Silver-Gold) across cloud and hybrid environments * Optimize cloud costs and implement FinOps practices for data platform services * Collaborate with partner Data Architect(s) to ensure cloud architecture aligns with enterprise standards * Evaluate and recommend new technologies and tools to enhance platform capabilities Stakeholder Collaboration * The Manager partners with cross-functional teams to deliver data platform value: * Work closely with BI Team Lead and Data Governance to ensure data is available, accessible, and trusted for analytics consumption * Partner with AI & Advanced Analytics team to provide high-quality, governed datasets for AI/ML workloads * Collaborate with Infrastructure and Security teams to ensure platform compliance and performance * Provide regular updates to leadership on platform status, projects, and operational metrics ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Making Data Warehouses fast. 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