Vaco
Job Title
Data Platform Engineer (DBA) Overview
About Us: We are a value-based healthcare organization committed to improving health outcomes while optimizing costs. Our business relies on a robust SQL-based data warehouse and modern analytics infrastructure to deliver actionable insights across operations, clinical quality, and financial performance. Position Summary: We are seeking a highly skilled Data Platform Engineer (DBA) to join our data engineering team to modernize and optimize our data pipelines. The Data Platform Engineer (DBA) will be responsible for the management, optimization, modernization, and governance of our enterprise data warehouse. This role requires strong technical expertise in Azure Data Factory (ADF)/Fabric/or other similar technologies, SQL Server Integration Services (SSIS), SQL Server, and modern BI platforms (Domo and Power BI). Key Responsibilities
Modernization & Optimization
Partner with IT leadership and data engineering teams to design and implement a modernized, scalable, and cloud-ready data platform. Design, develop, and maintain modernized ETL pipelines using Azure Data Factory, Fabric, Databricks and/or SSIS to integrate multiple data sources into the enterprise data warehouse. Recommend and implement improvements to ETL processes, storage, indexing strategies, and query performance. Explore and adopt automation tools, monitoring systems, and DevOps practices for database operations. Support migration strategies from legacy systems to cloud or hybrid architectures. Optimize and refine existing ETL processes to improve performance, scalability, and maintainability. Database Administration & Operations
Oversee the daily management of the SQL data warehouse, ensuring high availability, security, and optimal performance. Implement and maintain backup, recovery, and disaster recovery strategies. Monitor database performance and tune queries, indexes, and structures to maximize efficiency. Manage user access, roles, and permissions to uphold least-privilege security standards. Maintain documentation for database structures, configurations, and procedures. Design, build, and maintain ETL/ELT processes across SQL Agent jobs, stored procedures, and SSIS packages & optimize existing ETL processes for performance and reliability. Governance & Controls
Implement data quality checks, error handling, and monitoring to ensure accurate and consistent data flows. Adopt DevOps/DataOps practices for automation, monitoring, and repeatable deployments. Establish and enforce data management policies, including auditing, logging, and compliance monitoring. Ensure adherence to HIPAA, HITRUST, and other healthcare data security requirements. Implement robust change management processes for database updates, schema changes, and production deployments. Utilize a code repository (Git or similar) to manage, version, and document ETL code. Work closely with Finance, Clinical, and Analytics teams to ensure data pipelines and reporting processes are accurate, consistent, and reliable. Collaboration & Support
Partner with BI and analytics teams to ensure data is structured and accessible for actionable reporting. Work with application developers to optimize integration with downstream applications and operational systems. Provide advanced support for ETL & database-related incidents, outages, and service requests, perform root cause analysis, and implement preventive measures. Required Qualifications
Bachelor’s degree in Computer Science, Information Systems, or a related field; or equivalent experience. 5+ years of experience as a DBA in a large-scale SQL environment. 5+ years of experience in data engineering or data platform roles with expertise in ETL/ELT pipeline development and orchestration. Proven experience managing workloads in cloud-native data management platforms, preferably in Azure (Azure Synapse, Microsoft Fabric, Databricks, Data Factory) or equivalents (Snowflake, BigQuery, Redshift, dbt, Airflow). Strong knowledge of T-SQL, stored procedures, indexing strategies, and performance tuning. Experience with ETL processes, data warehouse management, and BI/reporting environments. Proven track record of implementing controls, monitoring systems, and compliance frameworks. Deep understanding of data security, governance, and regulatory compliance (HIPAA, HITRUST, SOC2, etc.). Preferred Skills
Experience with cloud database platforms (Azure SQL, Snowflake, etc.). Exposure to data warehouse modernization initiatives and architecture redesigns. Familiarity with data cataloging and governance platforms and practices (e.g., Purview, Collibra, or Alation). Knowledge of automation tools (Ansible, Terraform, Liquibase, etc.) and DevOps practices. Familiarity with healthcare data standards (HL7, FHIR, claims/EMR data). Professional certifications such as Microsoft Certified: Azure Database Administrator Associate, AWS Certified Database - Specialty, or equivalent. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Vaco by Highspring values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. EEO Notice: Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its affiliates are committed to inclusion and provide reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits, please contact HR@vaco.com. Workplaces discrimination is illegal and rights are protected. Privacy Notice: Vaco by Highspring respects your privacy and provides notice of our policies. California residents may access HR notices here; Virginia residents here; residents of other states here; Canadian residents here (English) and here (French); GDPR regions here. Pay Transparency Notice: Salary ranges depend on multiple factors including skill, experience, licensure, location, and business needs. The following factors may influence compensation: skills, experience, training, licensure or certification; location; other business needs. Local law may require disclosure of salary ranges.
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Data Platform Engineer (DBA) Overview
About Us: We are a value-based healthcare organization committed to improving health outcomes while optimizing costs. Our business relies on a robust SQL-based data warehouse and modern analytics infrastructure to deliver actionable insights across operations, clinical quality, and financial performance. Position Summary: We are seeking a highly skilled Data Platform Engineer (DBA) to join our data engineering team to modernize and optimize our data pipelines. The Data Platform Engineer (DBA) will be responsible for the management, optimization, modernization, and governance of our enterprise data warehouse. This role requires strong technical expertise in Azure Data Factory (ADF)/Fabric/or other similar technologies, SQL Server Integration Services (SSIS), SQL Server, and modern BI platforms (Domo and Power BI). Key Responsibilities
Modernization & Optimization
Partner with IT leadership and data engineering teams to design and implement a modernized, scalable, and cloud-ready data platform. Design, develop, and maintain modernized ETL pipelines using Azure Data Factory, Fabric, Databricks and/or SSIS to integrate multiple data sources into the enterprise data warehouse. Recommend and implement improvements to ETL processes, storage, indexing strategies, and query performance. Explore and adopt automation tools, monitoring systems, and DevOps practices for database operations. Support migration strategies from legacy systems to cloud or hybrid architectures. Optimize and refine existing ETL processes to improve performance, scalability, and maintainability. Database Administration & Operations
Oversee the daily management of the SQL data warehouse, ensuring high availability, security, and optimal performance. Implement and maintain backup, recovery, and disaster recovery strategies. Monitor database performance and tune queries, indexes, and structures to maximize efficiency. Manage user access, roles, and permissions to uphold least-privilege security standards. Maintain documentation for database structures, configurations, and procedures. Design, build, and maintain ETL/ELT processes across SQL Agent jobs, stored procedures, and SSIS packages & optimize existing ETL processes for performance and reliability. Governance & Controls
Implement data quality checks, error handling, and monitoring to ensure accurate and consistent data flows. Adopt DevOps/DataOps practices for automation, monitoring, and repeatable deployments. Establish and enforce data management policies, including auditing, logging, and compliance monitoring. Ensure adherence to HIPAA, HITRUST, and other healthcare data security requirements. Implement robust change management processes for database updates, schema changes, and production deployments. Utilize a code repository (Git or similar) to manage, version, and document ETL code. Work closely with Finance, Clinical, and Analytics teams to ensure data pipelines and reporting processes are accurate, consistent, and reliable. Collaboration & Support
Partner with BI and analytics teams to ensure data is structured and accessible for actionable reporting. Work with application developers to optimize integration with downstream applications and operational systems. Provide advanced support for ETL & database-related incidents, outages, and service requests, perform root cause analysis, and implement preventive measures. Required Qualifications
Bachelor’s degree in Computer Science, Information Systems, or a related field; or equivalent experience. 5+ years of experience as a DBA in a large-scale SQL environment. 5+ years of experience in data engineering or data platform roles with expertise in ETL/ELT pipeline development and orchestration. Proven experience managing workloads in cloud-native data management platforms, preferably in Azure (Azure Synapse, Microsoft Fabric, Databricks, Data Factory) or equivalents (Snowflake, BigQuery, Redshift, dbt, Airflow). Strong knowledge of T-SQL, stored procedures, indexing strategies, and performance tuning. Experience with ETL processes, data warehouse management, and BI/reporting environments. Proven track record of implementing controls, monitoring systems, and compliance frameworks. Deep understanding of data security, governance, and regulatory compliance (HIPAA, HITRUST, SOC2, etc.). Preferred Skills
Experience with cloud database platforms (Azure SQL, Snowflake, etc.). Exposure to data warehouse modernization initiatives and architecture redesigns. Familiarity with data cataloging and governance platforms and practices (e.g., Purview, Collibra, or Alation). Knowledge of automation tools (Ansible, Terraform, Liquibase, etc.) and DevOps practices. Familiarity with healthcare data standards (HL7, FHIR, claims/EMR data). Professional certifications such as Microsoft Certified: Azure Database Administrator Associate, AWS Certified Database - Specialty, or equivalent. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Vaco by Highspring values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. EEO Notice: Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its affiliates are committed to inclusion and provide reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits, please contact HR@vaco.com. Workplaces discrimination is illegal and rights are protected. Privacy Notice: Vaco by Highspring respects your privacy and provides notice of our policies. California residents may access HR notices here; Virginia residents here; residents of other states here; Canadian residents here (English) and here (French); GDPR regions here. Pay Transparency Notice: Salary ranges depend on multiple factors including skill, experience, licensure, location, and business needs. The following factors may influence compensation: skills, experience, training, licensure or certification; location; other business needs. Local law may require disclosure of salary ranges.
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