Data Platform Engineer (DBA)

The Data Platform Engineer is responsible for designing, modernizing, and supporting a cloud-based data platform, with a focus on transitioning legacy SSIS-driven ELT processes to Azure Data Factory (ADF) and advancing toward a Microsoft Fabric-enabled architecture. This role will help establish a scalable data lake foundation, enable modern analytics capabilities, and ensure data reliability through strong monitoring, alerting, and database administration practices. The position is critical to improving data quality, operational stability, and enterprise data accessibility., Data Platform Modernization

• Lead migration of legacy SSIS pipelines to Azure Data Factory (ADF)
• Support evolution toward Microsoft Fabric (Data Factory, Lakehouse, and Warehouse experiences)
• Redesign ELT processes to align with lakehouse and medallion architecture patterns (bronze/silver/gold)
• Build scalable, reusable, and parameter-driven data pipelines
• Integrate diverse data sources into a centralized cloud platform

Monitoring, Alerting & Data Operations

• Design and implement end-to-end monitoring across ADF, Fabric, and database environments
• Establish alerting frameworks for pipeline failures, data quality issues, and performance degradation
• Partner with Data Operations to support intake, triage, and incident management (L2 support model)
• Define and track SLAs/SLIs for pipeline performance and data availability
• Perform root cause analysis and implement preventative controls

Database Administration (DBA)

• Perform core SQL Server / Azure SQL / Fabric Warehouse administration:

• Performance tuning and query optimization
• Indexing strategies and maintenance
• Backup, recovery, and disaster recovery planning
• Capacity and workload management

• Ensure database security, access controls, and compliance adherence

Data Quality & Reliability

• Embed automated data quality checks within pipelines and lake layers
• Monitor completeness, accuracy, and timeliness of critical datasets
• Partner with business stakeholders to resolve data issues and improve trust in data

Platform Engineering & Governance

• Contribute to scalable, secure, and governed data architecture
• Implement CI/CD pipelines for ADF and Fabric deployments (Azure DevOps)
• Enforce standards for pipeline development, naming conventions, and code management
• Document data lineage, architecture, and operational runbooks, Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies.
• California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here.
• Virginia residents may access our state specific policies here.
• Residents of all other states may access our policies here.
• Canadian residents may access our policies in English here and in French here.
• Residents of countries governed by GDPR may access our policies here.

Do you have experience in System performance monitoring?, * 4+ years of experience in data engineering, data platform, or DBA roles

• Strong experience with:

• Azure Data Factory (ADF)
• SQL Server and/or Azure SQL
• SSIS (with migration/modernization experience)

• Hands-on experience with data lake architectures and cloud storage patterns
• Experience implementing monitoring and alerting frameworks
• Strong SQL skills and experience with scripting (Python, PowerShell, or similar)
• Understanding of ELT/ETL patterns and modern data architectures, * Experience with Microsoft Fabric (Lakehouse, Warehouse, Data Factory)
• Familiarity with Delta Lake and medallion architecture design
• Experience with Azure Data Lake Storage Gen2 or OneLake
• Experience with observability tools (Azure Monitor, Log Analytics)
• CI/CD and infrastructure-as-code experience (ARM, Terraform)
• Experience in healthcare or regulated environments

Key Competencies

• Strong problem-solving and root cause analysis skills
• Ability to operate across Data Engineering and Data Operations (L2 support model)
• Focus on data quality, reliability, and operational excellence
• Ability to translate technical solutions into business value
• Ownership mindset in a transformation environment

Pulled from the full job description

• Health insurance
• Vision insurance
• Dental insurance, Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:
• the individual's skill sets, experience and training;
• licensure and certification requirements;
• office location and other geographic considerations;
• other business and organizational needs.

With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.